yusuke1997/dblp-id-title huggingface dataset:
Reinforcement Learning with Partially Defined Rewards and Human Feedback for Energy Efficiency Recommendations
Balance your bids before your bits: the economics of geographic load-balancing
Constrained tâtonnement for fast and incentive compatible distributed demand management in smart grids
Automatic socio-economic classification of households using electricity consumption data
An Optimization Approach for Selection and Deployment of Energy-Efficient Servers in Green Data Centers
Autonomous Inductive Charging System for Battery-operated Electric Drones
Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings
On the impact of PMU placement on observability and cross-validation
METIS: a two-tier intrusion detection system for advanced metering infrastructures
Demo Abstract: Demonstration of Using Sensor Fusion for Constructing a Cost-Effective Smart-Door
Severe Fault Diagnosis in Digitized District Heating Network Substations: A Machine Learning Regression Approach
Machine Learning of Commercial and Residential Load Components in the Northwestern United States
FlexAbility - Modeling and Maximizing the Bidirectional Flexibility Availability of Unidirectional Charging of Large Pools of Electric Vehicles
Green Named Data Networking Using Renewable Energy
A methodology to predict the power consumption of servers in data centres
Physical Impact Analysis of Cyberattacks on Inverter-based Consumer Energy Resources
Introducing MILM: A Hybrid Minimal-Intrusive Load Monitoring Approach: Poster
A Best-effort Energy Storage as a Service Model for Supporting Renewable Generators in Day-ahead Electricity Markets
Exploratory data analysis for data center energy management
Mobile networks unplugged
Energy vs Privacy: Estimating the Ecological Impact of Federated Learning
Interaction Between Coordinated and Droop Control PV Inverters
SPOT: a smart personalized office thermal control system
Proxies for energy-efficient web access revisited
Theoretical Development of Controller Transfer applied to Dynamical Systems
Self-configurable and scalable utility communications enabled by software-defined networks
Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
SoftUPS: eliminating the need and cost of battery backups in the developing world
Fed-GBM: a cost-effective federated gradient boosting tree for non-intrusive load monitoring
Event-driven processor power management
Solving Chance-Constrained AC-OPF Problem by Neural Network with Bisection-based Projection
Behavior testing of load forecasting models using BuildChecks
A multi-user network testbed for wide-area monitoring and control of power systems using distributed synchrophasors
A FIWARE based digital twin for high performance computing centers
Using clustering mechanisms for defining consumer energy services
Fairness in Power Flow Network Congestion Management with Outer Matching and Principal Notions of Fair Division
Visualizing Vehicle Acceleration and Braking Energy at Intersections along a Major Traffic Corridor
Intelligent Agent Strategies for Residential Customers in Local Electricity Markets
A State-aware Proof of Stake Consensus Protocol for Power System Resilience
Windy with a chance of profit: bid strategy and analysis for wind integration
Enabling reliable data center demand response via aggregation
Data Visualisation for Remote Area Electrification Decision-Making: A Case Study of Indonesia
Marketing Risk of Renewable Generators
Unearthing Details of Time Series of Load: A Dual-scale Input Structured LSTM Approach
A cloud-based consumer-centric architecture for energy data analytics
Detecting Energy Theft Attacks on an Off-Grid Charging Station
The Maximum Transmission Switching Flow Problem
Occupant-oriented economic model predictive control for demand response in buildings
Energy-minimizing workload splitting and frequency selection for guaranteed performance over heterogeneous cores
On the Challenges of Charging Electric Vehicles in Domestic Environments
Uncertainty-Aware Flexibility Requirements Disaggregation
Profiling energy use in households and office spaces
Assessing the impact of measurement artifacts on energy loss calculation in electrical distribution grids
EnergyOS: Designing a Multi-Application EMS Platform
MELODY: Adaptive Task Definition of COP Prediction with Metadata for HVAC Control and Electricity Saving
Demand response model identification and behavior forecast with OptNet: a gradient-based approach
Structured Dictionary Learning for Energy Disaggregation
The 15th ACM International Conference on Future and Sustainable Energy Systems, e-Energy 2024, Singapore, June 4-7, 2024
Sample efficient reinforcement learning for building control: Leveraging physics informed latent representations
Discrete and stochastic coalitional storage games
Minimising energy costs of data centers using high dense heterogeneous systems and intelligent resource management
A greedy algorithm for the unforecasted energy dispatch problemwith storage in smart grids
Fairness vs welfare: a hybrid congestion aftermarket
Non-intrusive model derivation: automated modeling of residential electrical loads
Introducing routing standby in network nodes to improve energy savings techniques
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids
Modeling Flexibility in Uncertain Distributed Energy Resources
e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022 - 1 July 2022
Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement
Energy Storage as Public Asset
e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June - 2 July, 2021
CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI Clusters
Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?
Algorithms for upgrading the resolution of aggregate energy meter data
The CityLearn Challenge: Four Years of Advancing Common Task Frameworks for Energy Management in Smart Buildings
Enabling Self-aware Smart Buildings by Augmented Reality
Privacy-Preserving Control of Partitioned Energy Resources
Real-time Retail Electricity Pricing Using Offline Reinforcement Learning
Enabling Automated Dynamic Demand Response: From Theory to Practice
T-RECS: A Virtual Commissioning Tool for Software-Based Control of Electric Grids: Design, Validation, and Operation
AI Waste Prevention: Time and Power Estimation for Edge Tensor Processing Units: Poster
Lumiphys: Designing a Long-Term Energy Physicalization to Democratize Smart Campus Data
Visualising the Effect of COVID-19 on Electricity Consumption in Victoria, Australia
A Fast and Efficient Way to Obtain the Optimal Number of Ports in Electric Vehicle Charging Stations
An ensemble model for day-ahead electricity demand time series forecasting
Cooperative game theory framework for energy efficient policies in wireless networks
Small-Signal Stability Analysis for Droop-Controlled Inverter-based Microgrids with Losses and Filtering
Can Private LLM Agents Synthesize Household Energy Consumption Data?
A Multi-Objective Optimisation Approach for Energy Efficiency of Backhaul Traffic in Mobile Networks
Embedding Temporal Awareness in Reinforcement Learning Models for Energy System Control
Explicitly Consider Server-Attached Fans for Thermal Modeling in Edge Data Centers
Achieving Scalable Model-Free Demand Response in Charging an Electric Vehicle Fleet with Reinforcement Learning
Flexibility Reward Scheme for Grid-Friendly Electric Vehicle Charging in the Distribution Power Grid
PV Potential in Oil & Sun Rich Nations: An Experimental Case Study from Brunei
Mobile location sharing: an energy consumption study
Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch
Operating Power Grids with Few Flow Control Buses
Missing data handling for meter data management system
MEDAL: A Cost-Effective High-Frequency Energy Data Acquisition System for Electrical Appliances
Energy-Efficient Inference on RNN and LLM networks: A Quantized Evaluation on RISC-V, ARM, and x86 Devices
Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme
The impact of electricity pricing schemes on storage adoption in Ontario
Sustainability Choices when Cooking Pasta
X-Leep: Leveraging Cross-Layer Pacing for Energy-Efficient Edge Systems
Computational environmental ethnography: combining collective sensing and ethnographic inquiries to advance means for reducing environmental footprints
Appliance Detection Using Very Low-Frequency Smart Meter Time Series
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder
MARCO - Multi-Agent Reinforcement learning based COntrol of building HVAC systems
NowCasting: Accurate and Precise Short-Term Wind Power Prediction using Hyperlocal Wind Forecasts
Data Sharing between Wind Energy Producers: Economic Incentives and Strategic Behavior
Computational Challenges to Realizing Large-Scale CO2 Capture and Storage: Poster
Additive Gaussian process prediction for electrical loads compared with deep learning models
Brownout Energy Distribution Scheme for Mitigating Rolling Blackouts
Reinforcement Learning based Charging Station Management for Electric Vehicles
An opportunistic activity-sensing approach to save energy in office buildings
ACN-Data: Analysis and Applications of an Open EV Charging Dataset
Flexibility Management of Data Centers to Provide Energy Services in the Smart Grid
GenTL: A General Transfer Learning Model for Building Thermal Dynamics
Analyzing Distribution Transformers at City Scale and the Impact of EVs and Storage
Understanding the environmental costs of fixed line networking
Adequate Feedback-based Customer Incentives in Automated Demand Response
Leveraging Decentralized Solar-DC Towards Enable 24 x 7 Power to Indian Homes
Greening the internet with content-centric networking
The Spot* System for Flexible Personal Heating and Cooling
A realistic dataset generator for smart grid ecosystems with electric vehicles
EnergyPULSE: tracking sustainable behavior in office environments
Experimental Evaluation of a Data Driven Cooling Optimization Framework for HVAC Control in Commercial Buildings
Coordinating E-Mobility Charging for Frequency Containment Reserve Power Provision
Utilizing Device-level Demand Forecasting for Flexibility Markets
A compact integrated charger with disturbance reduced induction motor drive for plug-in electric vehicles (PEVs)
Comparison of energy efficiency in PSTN and VoIP systems
Equilibrium analysis of electricity markets with day-ahead market power mitigation and real-time intercept bidding
Design Considerations for Energy-efficient Inference on Edge Devices
Approximate Scheduling of DERs with Discrete Complex Injections
Jointly Trading Energy and Flexibility Based on FlexOffers and Blockchain
Evaluating the Value of Flexibility in Energy Regulation Markets
Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees
EnergiPay: Off-chain Payment Channel for Blockchain-enabled Peer-to-peer Energy Trading
DReAM: Demand Response Architecture for Multi-level District Heating and Cooling Networks
An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle Charging
Transmission Grid Congestion Data and Directions for Future Research
A new solution for the Energy Packet-based Dispatching using power/signal dual modulation
AI-assisted Stochastic Optimization for GPU Data Centers Lifecycle Planning
Little's Law in a Single-Server System with Inactive State for Demand-Response in Data Centers with Green SLAs
Uniform Pricing vs Pay as Bid in 100%-Renewables Electricity Markets: A Game-theoretical Analysis
Two-Step Blackout Mitigation by Flexibility-Enabled Microgrid Islanding
Flex: Closing the Gaps between Usage and Allocation
On the intertwining between capacity scaling and TCP congestion control
Towards appliance usage prediction for home energy management
Optimal Attack against Cyber-Physical Control Systems with Reactive Attack Mitigation
Introducing Scalileo: a Java based scaling framework
Insights and Lessons Learned from a Realistic Smart Grid Testbed for Cybersecurity Research
Reference Scenarios for Low Voltage Power Systems: Poster Description
Improving Building Energy Efficiency through Data Analysis
Systematic classification of self-adapting algorithms for power-saving operation modes of ICT systems
Multi-timescale Electricity Theft Detection and Localization in Distribution Systems Based on State Estimation and PMU Measurements
A moment in the sun: solar nowcasting from multispectral satellite data using self-supervised learning
Privacy Measures and Storage Technologies for Battery-Based Load Hiding - an Overview and Experimental Study
Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning
The NextGen Energy Storage trial in the ACT, Australia
Plug Load Identification using Regression based Nearest Neighbor Classifier
Modelling performance and power consumption of utilisation-based DVFS using M/M/1 queues
Using Analytics to Minimize Errors in the Connectivity Model of a Power Distribution Network
EVSense: a robust and scalable approach to non-intrusive EV charging detection
Pricing in Prosumer Aggregations using Reinforcement Learning
DC Thermal Energy Flexibility Model for Waste Heat Reuse in Nearby Neighborhoods
Line Management in the Energy Packet Grid
Learning-Augmented Online Control for Decarbonizing Water Infrastructures
Challenge: On Online Time Series Clustering for Demand Response: Optic - A Theory to Break the 'Curse of Dimensionality'
GEYSER: A Data Centre Energy Simulation Prototype Enabling Future Hardware in the Loop Testing
Next Generation Data Centers Business Models Enabling Multi-Resource Integration for Smart City Optimized Energy Efficiency
A Programming Model for Portable Fault Detection and Diagnosis
An occupant-participatory approach for thermal comfort enhancement and energy conservation in buildings
Optimal Reconfiguration of Real Low-Voltage Grids Based on Probabilistic Simulation
Online Comfort-Constrained HVAC Control via Feature Transfer
Power and cost aware distributed load management
Data Center Demand Response Pricing Using Inverse Optimization
Planning data center waste heat re-use in a university campus - a case study and software tools
The Potential of Agent-Based Simulation for Assessing the Bilateral-Nodal Debate
Attacking Learning-based Models in Smart Grids: Current Challenges and New Frontiers
Lessons learned on home energy monitoring and management: smartcity málaga
Locating and Sizing Smart Meter Deployment in Buildings
How Similar is the Usage of Electric Cars and Electric Bicycles?
Flexible loads in future energy networks
Evaluating and modeling power consumption of multi-core processors
Hybrid Approach for Digital Twins in the Built Environment
PrivEnergy: a Privacy Operator Framework Addressing Individual Concerns
Towards Accurately Explaining Battery Behavior: Learning the Parameters of Analytical Battery Models
Efficiency of Virtualization over MEC plus Cloud
Fair Charging Service Allocation for Electric Vehicles in the Power Distribution Grid
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
A First Look at Node-Level Curtailment of Renewable Energy and its Implications
Synchrophasor Measurements-based Events Detection Using Deep Learning
How much demand side flexibility do we need?: Analyzing where to exploit flexibility in industrial processes
The Energy Cost of your Netflix Habit
Efficient Peer-to-Peer Energy Trading Mechanisms with Unreliable Prosumers
Pricing flexibility of shiftable demand in electricity markets
Intelligent thermal management in M2DC system
Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality
POET: towards power-system-aware e-taxi coordination under dynamic passenger mobility
Energy Efficient Scheduling Based on Marginal Cost and Task Grouping in Data Centers
Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Voltage Behaviour and Distribution Network Performance with Community Energy Storage Systems and High PV Uptake
Reducing Imbalance Energy by Spatial Balance Area Forecasting
Allocating resources greenly: reducing energy consumption or reducing ecological impact?
Real-time Simulation of High-speed Flywheel Energy Storage System (FESS) for Distribution Networks
Robust and Practical Approaches for Solar PV and Storage Sizing
Robust online voltage control with an unknown grid topology
e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community
Fast Optimal Sizing of Domestic PV Energy Systems ✱
BBEMA: Dashboard for Baltic Balancing Energy Market Analysis
Semi-Automatic Generation and Labeling of Training Data for Non-intrusive Load Monitoring
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids
The Fourth International Conference on Future Energy Systems, e-Energy '13, Berkeley, CA, USA, May 22-24, 2013
Efficient Design of CO2 Capture and Storage Infrastructure
Online welfare maximization for electric vehicle charging with electricity cost
Equitable Network-Aware Decarbonization of Residential Heating at City Scale
Steady-state Voltage Profile and Long-term Voltage Stability of Electrified Road with Wireless Dynamic Charging
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems
Cement-α: an ontology-based data access system for building analytics with multiple data sources
Meeting Mid-Day Peak Loads through Distributed Rooftop PV Systems: Tale of Two Cities
Optimizing Electricity Procurement for Smart Charging
Statistical static capacity management in virtualized data centers supporting fine grained QoS specification
How to cool internet-scale distributed networks on the cheap
iSchedule: Campus-scale HVAC Scheduling via Mobile WiFi Monitoring
Distributed control of electric vehicle charging
Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to Oranges
Immersion cooled, solid oxide fuel cell powered Edge data center with heat recovery
HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps
An in-depth study of forecasting household electricity demand using realistic datasets
Practical power modeling of data transmission over 802.11g for wireless applications
Energy Disaggregation for SMEs using Recurrence Quantification Analysis
Simulator Accuracy Requirements for RL-Based Building Temperature Control
Generation and Evaluation of Flex-Offers from Flexible Electrical Devices
Data-driven decarbonization of residential heating systems: an equity perspective
Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices
Towards energy-aware scheduling in data centers using machine learning
Design of a TCP-like Smart Charging Controller for Power Quality in Electrical Distribution Systems
The energy consumption of TCP
Pareto-optimal energy sharing between battery-equipped renewable generators
Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach
NILMTK: an open source toolkit for non-intrusive load monitoring
Experimental performance assessment of a dynamic wireless power transfer system for future EV in real driving conditions
Transmission Expansion Planning Using Cycle Flows
Intelligent Scheduling of V2G, V2V, G2V Operations in a Smart Microgrid
Modelling and real-trace-based evaluation of static and dynamic coalescing for energy efficient ethernet
Data Economy for Prosumers in a Smart Grid Ecosystem
Adaptive Battery Control with Neural Networks
EnergyCoupon: A Case Study on Incentive-based Demand Response in Smart Grid
Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models
Speed planning for solar-powered electric vehicles
Economic Analysis of using Distributed Energy Storage for Frequency Regulation
Efficient Trading of Aggregate Bidirectional EV Charging Flexibility with Reinforcement Learning
Optimal Load Shedding for Mitigation of Cascading Failures in Power Grids
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions
'just enough' sensing to ENLITEN: a preliminary demonstration of sensing strategy for the 'energy literacy through an intelligent home energy advisor' (ENLITEN) project
Identifying key attacks on an IEEE 9-Bus System by leveraging the MITRE ATT&CK ICS Matrix
Making a Virtual Power Plant out of Privately Owned Electric Vehicles: From Contract Design to Scheduling
Load Balancing in Distributed Cloud Data Center Configurations: Performance and Energy-Efficiency
PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage
Modelling and Analysing Conservative Governor of DVFS-enabled Processors
A social approach for predicting distance-to-empty in vehicles
Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, E-Energy 2025, Rotterdam, The Netherlands, June 17-20, 2025
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
Characterizing Residential Load Patterns by Household Demographic and Socioeconomic Factors
The new frontier of communications research: smart grid and smart metering
Crowd-Sourced Storage-Assisted Demand Response in Microgrids
Explainable Home Energy Management Systems based on Reinforcement Learning using Differentiable Decision Trees
Flattening the Duck Curve Using Grid-friendly Solar Panel Orientation
A dynamic optimization model for power and performance management of virtualized clusters
Masquerading IEC 61850 GOOSE Protocol: Cyber-Physical Experiments and Detection
DSML: A Comprehensive Framework for Evaluating ML Methods for Distribution System State Estimation
Enhancing Situational Awareness in Smart Grids through Event Correlation for ATT&CK Mapping
SVD-reduction of high-dimensional German spatio-temporal wind speed data and clusters of similarity
Accountability challenges of AI in smart grid services
Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiency
Energy Efficient Job Scheduling with DVFS for CPU-GPU Heterogeneous Systems
Systematic Study of Cybersecurity Threats for Smart Inverters
ElectricityEmissions.jl: A Framework for the Comparison of Carbon Intensity Signals
Privacy Protection in Collaborative Geographically Distributed Co-Simulation of Multimodal Energy Systems
PyPESOL: The Python P2P Energy Sharing Optimization Library
Optimizing Electric Vehicle Charging Stations and Charging Ports for Highways and Expressways
Electrical Appliance Usage Timeline Data Visualization: Machinima and Dynamic Circle
Reducing electricity demand charge for data centers with partial execution
Scaling distributed energy storage for grid peak reduction
Automated Selection of Energy-efficient Operating System Configurations
Public Cloud Differential Pricing Design Under Provider and Tenants Joint Demand Response
Optimizing energy costs of commercial buildings in developing countries
SpinSmart: Exploring Optimal Server Fan Speeds to Improve Overall System Energy Consumption
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources
Challenge: Resolving Data Center Power Bill Disputes: The Energy-Performance Trade-Offs of Consolidation
Leveraging energy storage to optimize data center electricity cost in emerging power markets
Demo: Towards Deploying ML-based Load Forecasting Models for Building HVAC System: an AI Evaluation Platform
An analysis of peak demand reductions due to elasticity of domestic appliances
Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
Proceedings of the 14th ACM International Conference on Future Energy Systems, e-Energy 2023, Orlando, FL, USA, June 20-23, 2023