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energy management

energy management is to schedule energy units inside the systems, enabling an reliable, safe and cost-effective operation

Papers

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Showing 1–25 of 515 papers

TitleStatusHype
DUET: Dual Clustering Enhanced Multivariate Time Series ForecastingCode5
A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive ControlCode2
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate InteractionsCode2
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal SchedulingCode1
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning AlgorithmCode1
Peer-to-peer energy trading in smart grid through blockchain: A double auction-based game theoretic approachCode1
MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled DataCode1
A deep generative model for probabilistic energy forecasting in power systems: normalizing flowsCode1
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
Decentralized Energy Marketplace via NFTs and AI-based AgentsCode1
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric VehiclesCode1
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning ApproachCode1
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement LearningCode1
An optimal home energy management system for modulating heat pumps and photovoltaic systemsCode1
A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement LearningCode1
A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market: extended versionCode1
A Stochastic Game Framework for Efficient Energy Management in Microgrid NetworksCode1
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approachCode1
BEAR: Physics-Principled Building Environment for Control and Reinforcement LearningCode1
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy ManagementCode1
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy ModelCode1
A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learningCode1
Online Mixed-Integer Optimization in MillisecondsCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
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