yusuke1997/dblp-id-title huggingface dataset:
Augmented Pre-trained Graph Neural Networks for Grid-Supportive Flexibility Control
Poster Abstract: Combining Multiple Forecast for Improved Day Ahead Prediction of Wind Power Generation
Understanding Differential Privacy in Non-Intrusive Load Monitoring
Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids
Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning - A Technology Demonstration
A framework for occupancy-aided energy disaggregation
Demand Response clustering: Automatically finding optimal cluster hyper-parameter values
Performance of Krylov solvers for gas networks
Fine-Grained Mapping of Urban Energy Demand During Heatwaves
A Domain-Assisted Data Driven Model for Thermal Comfort Prediction in Buildings
HEAPO - An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols
Improving Energy Efficiency for Transactional Workloads in Cloud Environments
Fitting Realistic Data Centre Workloads: A Data Science Approach
Multiple time-scale model predictive control for thermal comfort in buildings
Uberizing the Charging Ecosystem for Electric Vehicles
Increasing Data Centre Renewable Power Share Via Intelligent Smart City Power Control
This Little Light of Mine: Electricity Access Mapping Using Night-time Light Data
Offline training of multi-agent reinforcement agents for grid-interactive buildings control
Resting weak cells to improve battery pack's capacity delivery via reconfiguration
Homomorphic Encryption Enables Data and Algorithm Confidentiality for Remote Monitoring and Control: An Application to Data Center Systems
Li-ion storage models for energy system optimization: the accuracy-tractability tradeoff
A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale
Modelling power systems as flat hybrid automata for controlled line switching
On Brittleness of Data-Driven Distribution System State Estimation to Targeted Attacks
A Smarter Grid with the Internet of Energy
Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties
Why Your Power System Restoration Does Not Work and What the ICT System Can Do About It
Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries
Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
Reducing Energy Consumption for Space Heating by Changing Zone Temperature: Pilot Trial in Luleå, Sweden
A Lightweight Energy-Efficient Computational Offloading Scheme in Mobile Edge Computing
Peak-Aware Online Economic Dispatching for Microgrids
Optimal Sizing of Hybrid Renewable Energy Sources via Efficient Demand Response in Microgrid
Practical Insights from Implementing Event-Based NILM Systems
Shaving Peaks by Augmenting the Dependency Graph
Phase Retrieval via Model-Free Power Flow Jacobian Recovery
A Convergence Predictor Model for Consensus-based Decentralised Energy Markets
nPlug: a smart plug for alleviating peak loads
Beyond Transmission Performance: 5G Opportunities for Developing e-Energy Applications
Cost-effective Closed-loop Bilevel Robust Optimization for Joint Chance-constrained Economic Dispatch
A benchmark of electric vehicle load and occupancy models for day-ahead forecasting on open charging session data
Outlining Ensemble K-Nearest Neighbors Approach for Low-Voltage Power Demand Forecasting
Design and Validation of a Smart Charging Algorithm for Power Quality Control in Electrical Distribution Systems
Distributed Rate Control for Smart Solar Arrays
Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles
Data-driven Energy Theft Detection in Modern Power Grids
Rapidly Trainable Large-Scale Probabilistic Heat Pump Load Forecasting: A Kernel Density Estimation Approach
Mapping Data Centre Business Types with Power Management Strategies to Identify Demand Response Candidates
Online Learning for Commercial Buildings
A Bayesian Data Analytics Approach to Buildings' Thermal Parameter Estimation
Energy benchmarks: a detailed analysis
Robustness in Multi-Agent Energy Systems: The Trade-Off between Decentralization and Security
Device-independent metrics for explicit, a priori measurement of energy flexibility
Energy-aware traffic engineering
Learning to be energy-wise: discriminative methods for load disaggregation
HVACLearn: A reinforcement learning based occupant-centric control for thermostat set-points
Reducing NGN energy consumption with IP/SDH/WDM
How does Load Disaggregation Performance Depend on Data Characteristics?: Insights from a Benchmarking Study
Real World Deployment of a Data Driven Cloud Based Cooling Solution for HVAC Control in Commercial Buildings
ETHome: Open-source blockchain based energy community controller
HVAC Precooling Optimization for Green Buildings: An RC-Network Approach
Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
Efficient neural network representations for energy data analytics on embedded systems
Leveraging Data Plane Programmability Towards a Policy-driven In-Network Security Framework for Industrial Control Systems
A demonstration of monitoring and measuring data centers for energy efficiency using opensource tools
Towards Virtual Sensors for Estimating the Electricity Consumption of Networked Appliances
Online optimization for the smart (micro) grid
Analyzing Worst-Case Delay Performance of IEC 61850-9-2 Process Bus Networks Using Measurements and Network Calculus
Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers
Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids
Improving Demand Response Programs Using Override Signals with Reinforcement Learning
A Framework for Evaluating the Costs and Benefits of Instrumentation in Smart Home Systems
Hierarchical Techniques to Forecast Joint Price-Volume Distributions of Intraday, Continuous Power Markets
Energy Predictive Models with Limited Data using Transfer Learning
A Framework for Assessing the Generalizability of GNN-Based AC Power Flow Models
MultiGreen: cost-minimizing multi-source datacenter power supply with online control
A measurement-based analysis of the energy consumption of data center servers
Efficient Online Station Assignment for EV Battery Swapping
Toward an analytic framework for the electrical power grid
Day-Ahead Price Forecasting in ERCOT Market Using Neural Network Approaches
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation
Malicious false data injection in hierarchical electric power grid state estimation systems
Preventing Critical Edges when Designing Transmission Networks
OS|Plug: Open Platform for Smart Plugs
Flexibility Disaggregation under Forecast Conditions
Analyzing Seasonal Variation in Residential Load Patterns via Two-Stage Clustering and Relative Entropy: Poster
The Effect of Temporal Aggregation on Battery Sizing for Peak Shaving
A network calculus foundation for smart-grids where demand and supply vary in space and time
Smart Grid Assistive AI in Requirement Engineering: Improving the Modeling of Use Cases and Architecture Models with LLMs
Solutions of DC OPF are Never AC Feasible
How far along are Local Energy Markets in the DACH+ Region?: A Comparative Market Engineering Approach
Optimization-based energy sharing among customers for enhanced resilience in a community microgrid
Are Time Series Foundation models good for Energy Anomaly Detection?
FlexiDigital: A Comprehensive Approach to Energy Flexibility Services using Digital Twins and Large Language Models
Stealthy Rootkit Attacks on Cyber-Physical Microgrids: Poster
End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data
The Long-term Cost of Energy Generation
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning
Effective Risk-limiting Carbon Emission Aware Economic Dispatch: An Algorithmic Perspective
Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage
Identifying Security Challenges in Renewable Energy Systems: A Wind Turbine Case Study
Smart Energy Meter Calibration: An Edge Computation Method: Poster
Exploring of Recursive Model-based Non-Intrusive Thermal Load Monitoring for Building Cooling Load
PaSTS An Operational Dataset for Domestic Solar Thermal Systems
Two Tropical Data Center Testbeds and Data Yields from 2018 to 2024
Scalable Supply and Demand Matching Involving Up-to-Date Information from Individual Prosumers
Decision-Focused Learning for Complex System Identification: HVAC Management System Application
Performance Analysis of Dynamic Wireless Charging System for Electric Vehicles: A Queueing Approach
Visualization of Jet Impingement and Ignition in a Piston-cylinder Chamber
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game
Towards Automated System-Level Energy-Efficiency Optimisation using Machine Learning: Poster
Physics-Informed Modularized Neural Networks for Building Dynamic Modeling: A Smart Buildings Hackathon Case Study
Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design
Evaluating asynchronous speed scaling policies in high-performance data centres with heavy tails
A Data-Driven Reduced-Order Modeling Method for Dynamic Wind Farm Control
Design Premises for Local Energy Markets
Emissions and prices are anti-correlated in Australia: what this means for the decarbonisation of our grid
Stabilization of Power Networks via Market Dynamics
MATE: A Memory-Augmented Time-Expansion Approach for Optimal Trip-Vehicle Matching and Routing in Ride-Sharing
Real-time Appliance Identification using Smart Plugs: Demo Abstract
Time series-based deep learning model for personal thermal comfort prediction
LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
Big data analysis for an electric vehicle charging infrastructure using open data and software
A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms
Follow the Sun and Go with the Wind: Carbon Footprint Optimized Timely E-Truck Transportation
Advanced Persistent Threats on Consumer Energy Resources in Decentralized Energy Systems
Rethinking Grids with Local Power Distribution
Frequency Containment Reserve and Imbalance participation: a Battery-Integrated Reinforcement Learning Strategy
Sizing Solar Panels and Storage for Multiple Roofs
Multi-facet approach to reduce energy consumption in clouds and grids: the GREEN-NET framework
Online microgrid energy generation scheduling revisited: the benefits of randomization and interval prediction
Comfort-aware Optimal Space Planning in Shared Workspaces
PowerGridworld: a framework for multi-agent reinforcement learning in power systems
Machine Learning for Data-Driven Indicators Applied to Power Distribution System
On the Joint Control of Multiple Building Systems with Reinforcement Learning
HAMS: A Memory-Efficient Representation of Power Grids Using Hierarchical and Multi-Scenario Graphs
Flexible Redundancy Generation for Virtual Network Embedding with an Application to Smart Grids
EPPMiner: An Extended Benchmark Suite for Energy, Power and Performance Characterization of Heterogeneous Architecture
PV Controller Modification and its Impact on Assisting PV Penetration
Spatio-Temporal Missing Data Imputation for Smart Power Grids
Data Driven Chiller Sequencing for Reducing HVAC Electricity Consumption in Commercial Buildings
Rooftop Solar Photovoltaic Power Forecasting Using Characteristic Generation Profiles
e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, Virtual Event, Australia, June 22-26, 2020
Long-term electricity market agent based model validation using genetic algorithm based optimization
Network-aware Participation of Aggregators in NEM Energy and FCAS Markets
Visualizing thermal comfort in residential passive house designs
Boosting the Performance of Deep Reinforcement Learning for Energy Management Systems using Behavior Cloning from Linear Programming Solutions
Evaluating Coupling Models for Cloud Datacenters and Power Grids
Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21 - 24, 2016
Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid
Illuminating energy: Smart lights, householders and intuitive energy data visualization
Load Forecasting in Energy Markets: An Approach Using Sparse Neural Networks
Improving Reduced-Order Building Modeling: Integration of Occupant Patterns for Reducing Energy Consumption
On the advantages of P2P ML on mobile devices
Integrating Energy Storage in Electricity Distribution Networks
Optimizing carbon tax for decentralized electricity markets using an agent-based model
Cutting the energy cost of TV content distribution by 5, by understanding the popularity of the top ten programs
Robust Routing for Vehicular Energy Network
Seamless Electromobility
Online distributed price-based control of DR resources with competitive guarantees
Fish and Chips: Converting Fishing Boats for Electric Mobility to Serve as Minigrid Anchor Loads
ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network
A novel payment scheme for trading renewable energy in smart grid
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning
FlexCoolDC: Datacenter Cooling Flexibility for Harmonizing Water, Energy, Carbon, and Cost Trade-offs
SURF and SURF-PI: a file format and API for non-intrusive load monitoring public datasets
Proceedings of the Ninth International Conference on Future Energy Systems, e-Energy 2018, Karlsruhe, Germany, June 12-15, 2018
Encouraging Energy Conservation in Campus Dormitory Via Monitoring and Policies
Optimal sleep patterns for serving delay-tolerant jobs
Accounting for the energy consumption of personal computing including portable devices
Merging traffic to save energy in the enterprise
Solving the Dynamics-Aware Economic Dispatch Problem with the Koopman Operator
Managing end-user preferences in the smart grid
Optimal Storage Control for Dynamic Pricing
Energon: A Data Acquisition System for Portable Building Analytics
Demand Forecasting in DHC-network using machine learning models
Coordination of Behind-the-Meter Energy Storage and Building Loads: Optimization with Deep Learning Model
EMBED: A Dataset for Energy Monitoring through Building Electricity Disaggregation
Individual and Aggregate Electrical Load Forecasting: One for All and All for One
Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling
Risk-based Decision-Support for Vulnerability Remediation in Electric Power Networks
Exploiting Appliance State Constraints to Improve Appliance State Detection
Carbon-Aware Global Routing in Path-Aware Networks
Automation of data center airflow and heat transfer analysis for transient scenario
HomeLabGym: A real-world testbed for home energy management systems
Appliance usage profiling for energy management and healthcare
Revisiting CPU Performance Scaling for Energy-Efficient Packet Processing Applications
UniversalNILM: A Semi-supervised Energy Disaggregation Framework using General Appliance Models
Routing of Delivery Trucks in a Battery Swapping System with Partial Delivery Option
Inferring non-outage events using meter voltage data
A Distributed Anytime Algorithm for Real-Time EV Charging Congestion Control
Opportunistic Driving: a Critical Design Space for Reducing Fuel Consumption of Timely Long-Haul Truck Transportation
Towards lifelong thermal comfort prediction with KubeEdge-sedna: online multi-task learning with metaknowledge base
Blockchain-enabled Parametric Solar Energy Insurance via Remote Sensing
Assessing the Flexibility Potential of Small-Scale Distributed Battery Storage Systems Under Distribution Network Constraints: A Case Study for Germany
Automated Classification of Power Plants by Generation Type
Stay or Switch: Competitive Online Algorithms for Energy Plan Selection in Energy Markets with Retail Choice
StoreLLM: Energy Efficient Large Language Model Inference with Permanently Pre-stored Attention Matrices
A Participatory Sensing Approach for Personalized Distance-to-Empty Prediction and Green Telematics
Specification of Data Centre Power Management Strategies
RAVIS: Resource Forecast and Ramp Visualization for Situational Awareness of Variable Renewable Generation
2nd International Conference on Energy-Efficient Computing and Networking 2011, e-Energy '11, New York, NY, USA - May 31 - June 01, 2011
A Generalized Nash Equilibrium Analysis of Electric Power Transmission-Distribution Coordination
A review of electric vehicle charging session open data: Poster
Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework
Advancing Accuracy in Energy Forecasting using Mixture-of-Experts and Federated Learning
Towards Learning-Based Architectures for Sensor Impact Evaluation in Building Controls
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks
Defining a synthetic data generator for realistic electric vehicle charging sessions
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions
Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems
Poster Abstract: Towards a Categorization Framework for Occupancy Sensing Systems
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
Towards Privacy-preserving Framework for Non-Intrusive Load Monitoring
The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy
Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets
Discovering the Right Incentives for Demand Response Programs
Inferring connectivity model from meter measurements in distribution networks
SmartD: smart meter data analytics dashboard
Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface: A Real-World Application in the Energy Lab 2.0: Poster
A Multi-Factor Battery Cycle Life Prediction Methodology for Optimal Battery Management
Photonic Energy Harvesting: Boosting Energy Yield of Commodity Solar Photovoltaic Systems via Software Defined IoT Controls
Energy-aware cross-layer burst buffering for wireless communication
Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven Approach
FOBSS: Monitoring Data from a Modular Battery System
iDR: consumer and grid friendly demand response system
In-situ sensor network for microclimate and urban energy modeling and validation
Multi-Objective Heuristic Charge Scheduling and Eco-Routing Mechanism for Electric Vehicles
On interpretable and explainable machine learning for urban building energy modeling
Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series
Detecting Occupancy in Smart Buildings by Data Fusion from Low-cost Sensors: Poster Description
Classification of Electric Vehicle Fleets Considering the Complexity of Fleet Charging Schedules
Green resource allocation in relay-assisted multicarrier IC networks considering circuit dissipated power
Hidden costs of power cuts and battery backups
Smart metering using application-tailored networks
Smart street light system with energy saving function based on the sensor network
Timely Query Processing in Smart Electric Grids: Algorithms and Performance
A genetic algorithm for finding microgrid cable layouts
DC picogrids: a case for local energy storage for uninterrupted power to DC appliances
Like a Good Neighbor, Solar is There
Locational marginal burden: Quantifying the equity of optimal power flow solutions
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data
Day-ahead Trading of Aggregated Energy Flexibility
Control and optimization meet the smart power grid: scheduling of power demands for optimal energy management
Proceedings of the Tenth ACM International Conference on Future Energy Systems, e-Energy 2019, Phoenix, AZ, USA, June 25-28, 2019
Towards a Holistic Controller: Reinforcement Learning for Data Center Control
Disaggregating Solar Generation Using Smart Meter Data and Proxy Measurements from Neighbouring Sites
lEarn: A Reinforcement Learning Based Bidding Strategy for Generators in Single sided Energy Markets
Optimal sizing and scheduling of community battery storage within a local market
Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations
The Fifth International Conference on Future Energy Systems, e-Energy '14, Cambridge, United Kingdom - June 11 - 13, 2014
GLENDA: Green Label towards Energy proportioNality for IaaS DAta centers
HIPE: An Energy-Status-Data Set from Industrial Production
Modeling Impact of Power- and Thermal-Aware Fans Management on Data Center Energy Consumption
Learning from Optimal: Energy Procurement Strategies for Data Centers
Exploding AI Power Use: an Opportunity to Rethink Grid Planning and Management
Symmetrical components analysis for managing phase imbalance in EV charge scheduling
DACF: day-ahead carbon intensity forecasting of power grids using machine learning
PriorityBucket: A Multipath-QUIC Scheduler on Accelerating First Rendering Time in Page Loading
Tight and Compact MILP Models for Storage Operation and Unit Commitment
Dynamic provisioning in next-generation data centers with on-site power production
Adversarial Machine Learning in Smart Energy Systems
Proactive dynamic resource management in virtualized data centers
Predicting peak-demand days in the ontario peak reduction program for large consumers
DirectPath: high performance and energy efficient platform I/O architecture for content intensive usages
Challenges in Scheduling Electric Vehicle Charging with Discrete Charging Rates in AC Power Networks
Interfacing process-aware Intrusion Detection for distributed energy sources with DEMKit
Neural Network and Correlation based Earth-Fault Localization utilizing a Digital Twin of a Medium-Voltage Grid
Telling the story of climate, sustainability, and modern computing to the general public
NITOS mobile monitoring solution: realistic energy consumption profiling of mobile devices
Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties
Transient Thermal Airflow Simulations of Data Centers Using Multiple GPUs
E2Pilot: An energy-efficient navigation system for long-haul timely truck transportation: demo
Towards Embodied Interaction for Geospatial Energy Sector Analytics in Immersive Environments
On the use of teletraffic theory in power distribution systems
CIMTrade: continuous intraday market trading model for a DER aggregator
Day-Ahead Optimization of Production Schedules for Saving Electrical Energy Costs
SeqCast: Sequence-Based Forecasting of Temperature Distribution in Smart Buildings
The Pervasive Data Center and the Elusive Negawatt
A Data Driven Pre-cooling Framework for Energy Cost Optimization in Commercial Buildings
Fault-Aware Compression for High Sampling Rate Data Acquisition in Smart Grids
Brownout Based Blackout Avoidance Strategies in Smart Grids
Modelling Optimal Pre-cooling Time for Buildings
Uncertain FlexOffers: a scalable, uncertainty-aware model for energy flexibility
Engineering Smart Market Platforms for Market Based Congestion Management
Optimization of Solar PV System and Analysis of Tilt Angle
Sustainable, Situation-Aware Multi Objective Spatial Load Scheduling for Data Centers
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
A General Approach of Automated Environment Design for Learning the Optimal Power Flow
PIMM: Packet Interval-Based Power Modeling of Multiple Network Interface-Activated Smartphones