coordinated price maker operation of large energy storage units in nodal energy markets in this paper a new optimization framework is proposed to coordinate the operation of large price maker and geographically dispersed energy storage battery systems in a nodal transmission constrained energy market the energy storage units are assumed to be investor owned and independently operated seeking to maximize their total profit various design factors are taken into consideration such as the location size efficiency and charge and discharge rates of the energy storage units as well as the joint impact of the energy storage operations on the locational marginal prices while the formulated optimization problem is originally nonlinear and hard to solve nonlinearities are tackled both in the objective function and in the constraints and the problem is transformed into a tractable mixed integer linear program for which the global optimal solutions are found for the charge and discharge schedules of each energy storage unit both deterministic and stochastic design scenarios are addressed various case studies are presented it is observed that transmission line congestion is often but not always desirable for the coordinated storage systems locational diversity practice of arbitrage robust design self scheduling versus economic bidding and the overall power system performance are also investigated

the rent gap debunked the rent gap theory of gentrification has inspired a substantial amount of critical attention as well as several empirical studies none of these studies addresses a fundamental problem with the rent gap hypothesis namely its dependence on a distinction between actual and potential land rent that distinction does not contribute to the explanation of either the location or timing of changes in land use and contrary to some claims there are no antecedents for the rent gap in the history of economic ideas whether marxian or neoclassical it is concluded that the standard neoclassical concept of land use succession is more coherent than the rent gap concept however neither approach explains how neighbourhoods previously subject to disinvestment come to be perceived to have the potential for reinvestment and higher land rents

international technology licensing monopoly rents transaction costs and exclusive rights as firms increasingly use licensing to exploit knowledge based assets in global technology markets appropriate structuring of these agreements has become an important line of research inquiry one area that has received less attention is the nature of rights granted in inter firm licensing relationships although it is an important clause that has implications for profit generation from licensing of proprietary assets conceptualizing licensing rights in terms of number of licenses granted and exclusivity rights given to a licensee in a foreign market this paper examines the determinants of these rights based on monopoly rents and transaction costs associated with different types of licensing contracts hypotheses are empirically tested through two studies one based on large us manufacturing firms and the other on a cross national sample of medium sized firms actively involved in international technology licensing results from both studies show a greater propensity to use non exclusive multiple licensing when the licensed technology has greater potential to produce differentiated products or when there is greater threat of substitutive technologies entering the market on the other hand innovative technologies and a higher degree of asset specific investments required of the licensee for the technology are related to the use of single exclusive licensing agreements

on minimum rents part 1 marx and absolute rent marx suggests that land would not be rented to a tenant at less than some minimum rent which he calls absolute rent this concept and marx s arguments are analysed in this paper it has been argued by some that absolute rent in marxian economics derives from the fact that investment in agriculture is lower so that the organic composition of capital is lower it is argued here that the low organic composition of capital in the marxian schema is rather a consequence of the existence of absolute rent and this in turn results from the landlord tenant relationship marx himself stressed that if land were owner occupied absolute rent would not exist that it is a consequence of the system of land tenure but provides no explanation as to why it should have this consequence in an associated paper modern economic analysis is used to explain why minimum rents will occur

flexible labor compensation risk sharing and company leverage abstract in a traditional wage system the union and the firm bargain ex ante over a compensation level that does not depend on the state of the world under this regime both the wage and the interest earned by debt holders represent predetermined fixed claims on the value of the firm on the other hand in a profit sharing system the union and the firm bargain ex ante over a compensation schedule that does depend on the state of the world in this case the flexible compensation earned by workers becomes a residual claim on the value of the firm similar to the dividend earned by stock holders the implications of this correspondence between compensation structure and financial structure are explored the estimation of a model for the issuance of new long term debt supports the hypothesis of interdependence between financial and compensation decisions

modeling electricity wholesale markets with model predictive and profit maximizing agents a new agent based electricity market model is presented in which participants correspond to generation plants as well as storage power plants in contrast to agent based models where agents use learning heuristics and trial and error approaches to maximize their profits the proposed model predictive bidding uses multi step optimization to find bidding curves which maximize the expected discounted profit over a time horizon in the future the profit is calculated based on an hourly price forward curve hpfc whereby the hpfc is constructed taking several factors into account in addition a price adjuster is used in these calculations which allows the participant to take into account his market power the resulting optimization problem for each agent is solved using dynamic programming a case study is carried out in which the proposed agent based market model is applied to the four countries switzerland germany italy and france to study the effects of constrained cross border capacities the simulations show that the transmission system operators as well as the power generating units have no incentive to build additional cross border capacity since it lowers their profits

decision making under uncertainty capturing dynamic brand choice processes in turbulent consumer goods markets we construct two models of the behavior of consumers in an environment where there is uncertainty about brand attributes in our models both usage experience and advertising exposure give consumers noisy signals about brand attributes consumers use these signals to update their expectations of brand attributes in a bayesian manner the two models are 1 a dynamic model with immediate utility maximization and 2 a dynamic forward looking model in which consumers maximize the expected present value of utility over a planning horizon given this theoretical framework we derive from the bayesian learning framework how brand choice probabilities depend on past usage experience and advertising exposures we then form likelihood functions for the models and estimate them on nielsen scanner data for detergent we find that the functional forms for experience and advertising effects that we derive from the bayesian learning framework fit the data very well relative to flexible ad hoc functional forms such as exponential smoothing and also perform better at out of sample prediction another finding is that in the context of consumer learning of product attributes although the forward looking model fits the data statistically better at conventional significance levels both models produce similar parameter estimates and policy implications our estimates indicate that consumers are risk averse with respect to variation in brand attributes which discourages them from buying unfamiliar brands using the estimated behavioral models we perform various scenario evaluations to find how changes in marketing strategy affect brand choice both in the short and long run a key finding obtained from the policy experiments is that advertising intensity has only weak short run effects but a strong cumulative effect in the long run the substantive content of the paper is potentially of interest to academics in marketing economics and decision sciences as well as product managers marketing research managers and analysts interested in studying the effectiveness of marketing mix strategies our paper will be of particular interest to those interested in the long run effects of advertising note that our estimation strategy requires us to specify explicit behavioral models of consumer choice behavior derive the implied relationships among choice probabilities past purchases and marketing mix variables and then estimate the behavioral parameters of each model such an estimation strategy is referred to as structural estimation and econometric models that are based explicitly on the consumer s maximization problem and whose parameters are parameters of the consumers utility functions or of their constraints are referred to as structural models a key benefit of the structural approach is its potential usefulness for policy evaluation the parameters of structural models are invariant to policy that is they do not change due to a change in the policy in contrast the parameters of reduced form brand choice models are in general functions of marketing strategy variables e g consumer response to price may depend on pricing policy as a result the predictions of reduced form models for the outcomes of policy experiments may be unreliable because in making the prediction one must assume that the model parameters are unaffected by the policy change since the agents in our models choose among many alternative brands their choice probabilities take the form of higher order integrals we employ monte carlo methods to approximate these integrals and estimate our models using simulated maximum likelihood estimation of the dynamic forward looking model also requires that a dynamic programming problem be solved in order to form the likelihood function for this we use a new approximation method based on simulation and interpolation techniques these estimation techniques may be of interest to researchers and policy makers in many fields where dynamic choice among discrete alternatives is important such as marketing decision sciences labor and health economics and industrial organization

dynamic convexification within nested benders decomposition using lagrangian relaxation an application to the strategic bidding problem abstract many decomposition algorithms like benders decomposition and stochastic dual dynamic programming are limited to convex optimization problems in this paper we utilize a dynamic convexification method that makes use of lagrangian relaxation to overcome this limitation and enables the modeling of non convex multi stage problems using decomposition algorithms though the algorithm is confined by the duality gap of the problem being studied the computed upper bounds for maximization problems are at least as good as those found via a linear programming relaxation approach we apply the method to the strategic bidding problem for a hydroelectric producer in which we ask what is the revenue maximizing production schedule for a single price maker hydroelectric producer in a deregulated bid based market because the price maker s future revenue function has a sawtooth shape we model it using mixed integer linear programming to remedy the non concavity issues associated with modeling the future revenue function as a mixed integer linear program we model the price maker s bidding decision utilizing both benders decomposition and lagrangian relaxation we demonstrate the utility of our algorithm through an illustrative example and through three case studies in which we model electricity markets in el salvador honduras and nicaragua

licensee technological potential and exclusive rights in international licensing a multilevel model granting of exclusive rights is an important consideration for firms using licensing as a mode of entry into foreign markets as exclusive contracts reduce licensors flexibility in a given market during the term of the agreement by granting exclusivity to a licensee with greater technological potential the exchange partners can increase the potential transactional value of the licensing agreement at the same time a licensee with strong technological potential will increase the threat of transactional hazards due to underinvestment and rent appropriation in this paper we develop and empirically test a model that evaluates the balancing of transactional value and transaction costs in exclusive licensing in particular we identify the conditions under which exclusive contracts are likely to be granted to foreign licensees with strong technological potential empirical results from a multilevel model based on 375 international licensing agreements of us firms in high technology industries during 1995 2008 show that licensees with a stronger technological potential are more likely to be granted exclusive rights in countries with strong intellectual property rights protection and in industries with a high rate of technological change but are less likely to be granted exclusive rights when there is a high degree of overlap between licensor and licensee products

nash equilibrium in strategic bidding a binary expansion approach this paper presents a mixed integer linear programming solution approach for the equilibrium problem with equilibrium constraints epec problem of finding the nash equilibrium ne in strategic bidding in short term electricity markets a binary expansion be scheme is used to transform the nonlinear nonconvex ne problem into a mixed integer linear problem milp which can be solved by commercially available computational systems the be scheme can be applicable to cournot bertrand or joint price quantity bidding models the approach is illustrated in case studies with configurations derived from the 95 gw brazilian system including unit commitment decisions to the price maker agents

oligopoly profit sharing contracts and the firm s systematic risk abstract this article examines the properties of wage and profit sharing contracts in a model of oligopoly with capital market equilibrium while profit sharing contracts dominate market wage contracts profit sharing also reduces the firm s cost of equity capital under fairly broad conditions of oligopoly by enforcing lower costs in exchange for a pre determined share of cash flows to workers this form of operational leverage both reinforces the classical effect of market power on systematic risk and the impact of profit sharing on the corporate finance of the firm as previously suggested by ichino 1994 european economic review 38 1411 1422

a review on risk constrained hydropower scheduling in deregulated power market in deregulated power market hydro producer has in principle no other objective than to produce electricity and sell with maximum profit with lower market risk attention must focus on profit uncertainty caused by uncertainty in spot prices and reservoir inflow the purpose of this review is to assess the state of the art in hydropower operations considering profit risk under uncertainty and consider future directions for additional research and application physical and financial tools to hedge risk in bilateral market and risk assessment methods are all discussed in detail furthermore production resources can also be used to manage risk to a certain extent this concept when be integrated with variety of risk management methods under stochastic optimal framework has operational significance for hydro producer participating in electricity market

testing between competing models of sharecropping the marshallian approach assumes a prohibitively high cost of monitoring the sharecropper s activities while the monitoring approach argues that landlords stipulate and effectively monitor sharecroppers activities i present new evidence using detailed data collected from eight indian villages most tenants own some land of their own this provides a controlled environment in studying the impact of contractual arrangements the differences in input and output intensities on owned minus sharecropped land of the same household are found to be sizable and significant suggesting a rejection of the monitoring approach and supporting the notion of the marshallian productive inefficiency of sharecropping

hydrothermal market simulator using game theory assessment of market power the aim of this work is to build a model able to simulate a hydrothermal electric power market based on simple bids to a power exchange the model studies the behavior of different market agents in a short term horizon and delivers information about spot prices use of water and other relevant variables initially a thermoelectric market is simulated through a static model based on cournot concepts the addition of hydroelectric power stations and time dependencies is made later using a dynamic programming algorithm to build a dynamic model in each stage and state of the dynamic programming a nash cournot equilibrium is determined to assess the behavior of the thermoelectric power stations static model different strategies that firms can follow and the consequences of each one of them are analyzed market power mitigation effects of physical and financial bilateral contracts are also investigated a case study with data on the chilean power system is presented and analyzed

weekly self scheduling forward contracting and pool involvement for an electricity producer an adaptive robust optimization approach abstract this paper addresses the optimization under uncertainty of the self scheduling forward contracting and pool involvement of an electricity producer operating a mixed power generation station which combines thermal hydro and wind sources and uses a two stage adaptive robust optimization approach in this problem the wind power production and the electricity pool price are considered to be uncertain and are described by uncertainty convex sets to solve this problem two variants of a constraint generation algorithm are proposed and their application and characteristics discussed both algorithms are used to solve two case studies based on two producers each operating equivalent generation units differing only in the thermal units characteristics their market strategies are investigated for three different scenarios corresponding to as many instances of electricity price forecasts the effect of the producers approach whether conservative or more risk prone is also investigated by solving each instance for multiple values of the so called budget parameter it was possible to conclude that this parameter influences markedly the producers strategy in terms of scheduling profit forward contracting and pool involvement these findings are presented and analyzed in detail and an attempted rationale is proposed to explain the less intuitive outcomes regarding the computational results these show that for some instances the two variants of the algorithms have a similar performance while for a particular subset of them one variant has a clear superiority

optimal coordinated wind hydro bidding strategies in day ahead markets wind and hydro technologies represent an important part of the electricity generation sector however there have been few detailed studies that have investigated the synergies resulting from their combined operation to address that we formulate three optimization models where wind and reversible hydro technologies bid in a day ahead market the bidding strategies are divided into three categories 1 separate wind and reversible hydro offers without a physical connection between them 2 separate wind and reversible hydro offers with a physical connection to store by pumping the wind energy surplus and 3 single wind and reversible hydro offers with a physical connection risk is considered in the models by means of the conditional value at risk cvar a comparison of the models and relevant conclusions are drawn from an illustrative case study of the iberian day ahead electricity market

an individual welfare maximization algorithm for electricity markets an algorithm that allows a market participant to maximize its individual welfare in electricity spot markets is presented the use of the algorithm in determining market equilibrium points called nash equilibria is demonstrated the start of the algorithm is a spot market model that uses the optimal power flow opf with a full representation of the transmission system and inclusion of consumer bidding the algorithm utilizes price and dispatch sensitivities available from the hessian matrix and gradient of the opf to help determine an optimal change in an individual s bid the algorithm is shown to be successful in determining local welfare maxima and the prospects for scaling the algorithm up to realistically sized systems are very good nash equilibria are investigated assuming all participants attempt to maximize their individual welfare this is done by iteratively solving the individual welfare maximization algorithm until all individuals stop modifying their bids

price maker economic bidding in two settlement pool based markets the case of time shiftable loads in this paper a new scenario based stochastic optimization framework is proposed for price maker economic bidding in day ahead and real time markets the presented methodology is general and can be applied to both demand and supply bids that is no restrictive assumptions are made on the characteristics of the pool and its agents however our focus is on the operation of time shiftable loads with deadlines because they play a central role in creating load flexibility and enhancing demand response and peak load shaving programs both basic and complex time shiftable load types are addressed where the latter includes time shiftable loads that are uninterruptible have per time slot consumption limits or ramp constraints or comprise several smaller time shiftable subloads four innovative analytical steps are presented in order to transform the originally nonlinear and hard to solve price maker economic bidding optimization problem into a tractable mixed integer linear program accordingly the global optimal solutions are found for the price and energy bids within a relatively short amount of computational time a detailed illustrative case study along with multiple case studies based on the california energy market data are presented it is observed that the proposed optimal price maker economic bidding approach outperforms optimal price maker self scheduling as well as even load distribution

the stochastic city abstract this paper analyzes a simple model of an urban area with growth and uncertainty household income rents and prices for land follow stochastic processes even though investors are risk neutral uncertainty affects both land rents and land prices in equilibrium because the conversion of land from agricultural to urban use is irreversible growth on the other hand affects urban and agricultural land prices but not the level of rents we show that uncertainty i delays the conversion of land from agricultural to urban use ii imparts an option value to agricultural land iii causes land at the boundary to sell for more than its opportunity cost in other uses and iv reduces equilibrium city size

market offering strategies for hydroelectric generators this paper considers the problem of offering electricity produced by a series of hydroelectric reservoirs to a pool type central market the market model is a simplified version of the new zealand wholesale electricity market with prices modelled by a first order markov process the demand for electricity is not explicitly modelled the hydroelectric generator is assumed to be unable to influence market prices i e to be a price taker we discuss the resulting stochastic dynamic program methods for its solution and the explicit optimal offer curves that it produces it is shown that the utility function is monotone increasing with respect to both reservoir level and current price however the optimal offer curves need not be monotone this is shown by example numerical results are provided

pool strategy of a price maker wind power producer we consider the problem of a wind power producer trading energy in short term electricity markets the producer is a price taker in the day ahead market but a price maker in the balancing market and aims at optimizing its expected revenues from these market floors the problem is formulated as a mathematical program with equilibrium constraints mpec and cast as a mixed integer linear program milp which can be solved employing off the shelf optimization software the optimal bid is shown to deliver significantly improved performance compared to traditional bids such as the conditional mean or median forecast of wind power distribution finally sensitivity analyses are carried out to assess the impact on the offering strategy of the producer s penetration in the market of the correlation between wind power production and residual system deviation and of the shape of the forecast distribution of wind power production

transaction costs risk aversion and the choice of contractual arrangements publisher summary this chapter discusses transaction costs risk aversion and the choice of contractual arrangements every transaction involves a contract and the transactions conducted in the marketplace entail outright or partial transfers of property rights among individual contracting parties the contractual arrangements through which these transfers are negotiated are several and varied the chapter presents a theory that states that economic efficiency is the same under various land tenure arrangements subject to the constraint of private property rights although transaction costs exist in the real world the theory enables the understanding of much of the farming behavior however the presence of a variety of contractual arrangements under the same constraint of competition poses the question of the choice of these arrangements if a firm can increase efficiency in production by employing productive resources of more than one resource owner a contract to combine the resources will be obtained the formation of the contract involves partial transfers of property rights in one form or another such as leasing hiring or mortgaging

generation scheduling in a deregulated system the norwegian case the paper gives an overview of the deregulated electricity supply system in norway with emphasis on the generation scheduling approach procedures and tools for long medium and short term scheduling are described scheduling is carried out by each individual utility since scheduling is based on profit maximizing the spot market price is a very important factor this price is varying and uncertain however a part of the paper describes how to deal with this by considering the spot market price as an exogenously given stochastic variable it is shown how to extend the common water value computations so as to handle this case implications to the medium and short term scheduling are also discussed

generation expansion planning with large amounts of wind power via decision dependent stochastic programming power generation expansion planning needs to deal with future uncertainties carefully given that the invested generation assets will be in operation for a long time many stochastic programming models have been proposed to tackle this challenge however most previous works assume predetermined future uncertainties i e fixed random outcomes with given probabilities in several recent studies of generation assets planning e g thermal versus renewable new findings show that the investment decisions could affect the future uncertainties as well to this end this paper proposes a multistage decision dependent stochastic optimization model for long term large scale generation expansion planning where large amounts of wind power are involved in the decision dependent model the future uncertainties are not only affecting but also affected by the current decisions in particular the probability distribution function is determined by not only input parameters but also decision variables to deal with the nonlinear constraints in our model a quasi exact solution approach is then introduced to reformulate the multistage stochastic investment model to a mixed integer linear programming model the wind penetration investment decisions and the optimality of the decision dependent model are evaluated in a series of multistage case studies the results show that the proposed decision dependent model provides effective optimization solutions for long term generation expansion planning

risk constrained scheduling and offering strategies of a price maker hydro producer under uncertainty this paper presents a stochastic mixed integer linear programming smilp approach to maximize total expected profit of one price maker hydro producer in a pool based electricity market head dependence commitment decisions discharge ramping startup costs and forbidden zones are all effectively handled in our approach uncertainty about the competitors offers is adequately represented by residual demand curves rdcs scenarios the management of risk is suitably addressed by conditional value at risk cvar to provide the efficient frontier i e the solutions set for which the expected profit may not be augmented without enlarging the variance of profit appropriate offering strategies to the pool are also developed consisting of supply functions built for different risk levels a representative cascaded hydro system with 7 reservoirs is considered to analyze and compare risk neutral versus risk averse results

strategic bidding under uncertainty a binary expansion approach this work presents a binary expansion be solution approach to the problem of strategic bidding under uncertainty in short term electricity markets the be scheme is used to transform the products of variables in the nonlinear bidding problem into a mixed integer linear programming formulation which can be solved by commercially available computational systems the be scheme is applicable to pure price pure quantity or joint price quantity bidding models it is also possible to represent transmission networks uncertainties scenarios for price quantity plant availability and load financial instruments capacity reinforcement decisions and unit commitment the application of the methodology is illustrated in case studies with configurations derived from the 80 gw brazilian system

on monopoly rent many different authors moreover a thorough study of the literature suggests that there is little continuity and therefore little sense of cumulative progress every twenty years or so the idea of monopoly rent surfaces and is discussed by one or two authors but these discussions are unrelated to earlier work of which the authors seem mostly to be unaware the aims of this paper are therefore twofold the first is to provide a survey of the different ways in which economists have conceived and treated the idea of monopoly rent and so to bring together and systematize the scattered opinions to which samsonoff referred so long ago the second is to present the kind of accurate and precise statement of the theory of monopoly rent for which samsonoff asked in 1912 one which would allow monopoly rent to be regarded as a genuine scientific doctrine it must be admitted however that the thorough study of the literature mentioned above leaves one with a pessimistic view of progress in economic science with respect to monopoly rent at least given that the concept seems to be rediscovered every twenty or thirty years and that the discoverers seem to refer very little if at all to previous literature there seems no reason why the cycle of discovery and oblivion should not go on for another two hundred years despite the fact that the literature gives no grounds for any such expectation it is still the author s faint hope that this paper may still assist the progress of economic thought because the theory of monopoly rent has never been properly formalized the concept remains shadowy and amorphous because different authors appear to have meant different things by it analysis of the writings of the various authors suggests three possible ways in which the term is intended to be understood the first we call class monopoly after the usage by harvey 1974 here the class of land owners by definition own all the land and the rent of the land is monopoly rent this usage seems to be frequent in the writings of the classical economists in the nineteenth cen

price maker self scheduling in a pool based electricity market a mixed integer lp approach this paper addresses the self scheduling problem faced by a price maker to achieve maximum profit in a pool based electricity market an exact and computationally efficient mixed integer linear programming milp formulation of this problem is presented this formulation models precisely the price maker capability of altering market clearing prices to its own benefits through price quota curves no assumptions are made on the characteristics of the pool and its agents a realistic case study is presented and the results obtained are analyzed in detail

profit sharing risk sharing and firm size implications of efficiency wages by taking account of output fluctuations this paper constructs a synthesis of profit sharing and efficiency wage models to highlight the role of the risk attitudes of the firm and its employees we show contrary to the traditional efficiency wage theory that in a profit sharing economy unemployment is no longer a necessary device to induce work effort and consequently the labor market equilibrium may be characterized by full employment such a result is more likely to be true when the economy is characterized by small sized firms in addition we also provide a preliminary sketch of the situations in which the firm chooses a profit sharing program or a fixed wage one and discuss how a firm determines its pay parameters and employment in response to output fluctuations

market power assessment and mitigation in hydrothermal systems the objective of this paper is to investigate market power issues in bid based hydrothermal scheduling initially market power is simulated with a single stage nash cournot equilibrium model market power assessment for multiple stages is then carried through a stochastic dynamic programming scheme the decision in each stage and state is the equilibrium of a multi agent game thereafter mitigation measures specially bilateral contracts are investigated case studies with data taken from the brazilian system are presented and discussed

multimarket optimal bidding for a power producer this paper considers a profit maximizing thermal producer that participates in a sequence of spot markets namely day ahead automatic generation control agc and balancing markets the producer behaves as a price taker in both the day ahead market and the agc market but as a potential price maker in the volatile balancing market the paper provides a stochastic programming methodology to determine the optimal bidding strategies for the day ahead market uncertainty sources include prices for the day ahead and agc markets and balancing market linear price variations with the production of the thermal producer results from a realistic case study are reported and analyzed conclusions are duly drawn

on minimum rents part 2 a modern interpretation summary the idea that there might be some minimum rent below which a land owner would not let to any tenant was put forward by marx but with little supporting argument in this paper it is shown that the modern concepts and analysis of transaction costs and monitoring costs can explain why such a minimum rent might exist further that risk and uncertainty coupled with the fact that tenancies are usually for some years also provide an explanation for the reluctance of land and property owners to let at minimal rents some empirical evidence is cited particularly the substantial rents which have to be paid to lay telecommunication cables across private land

a simulation model for a competitive generation market the simulation of a wholesale electricity market should go beyond a simple optimization based on the operating costs of the generating units a model of a competitive electricity market must consider the market structure the strategy of the market participants and any other factor that lead to prices different from costs this paper presents cosmee a model of a wholesale electricity market based on simple bids that estimates expected bid prices and quantities system hourly prices and generation schedules taking into account the bidding strategies of generators and the structure of the market the model reflects the profit maximizing behavior of the market agents subject to different types of constraints cosmee has been used to simulate a real wholesale market

optimal bidding strategies for hydro electric producers a literature survey in a competitive environment with bid based markets power generation companies desire to develop bidding strategies that maximize their revenue in this paper we ask what approaches and methodologies have been used to model the bidding problem for hydro electric producers we present the problem s developments over time and through reviewing different variants of the problem progressively build to the case in which the agent is a price maker hydro electric producer in each variant of the bidding problem we examine how the approaches used to solve it may or may not be applicable to other variants last for the price maker hydro electric producer s bidding problem we recognize the most recent developments and illuminate a path for future efforts