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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 401–425 of 515 papers

TitleStatusHype
Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming—0
Optimizing Carbon Footprint in ICT through Swarm Intelligence with Algorithmic Complexity—0
Optimizing Energy Management and Sizing of Photovoltaic Batteries for a Household in Granada, Spain: A Novel Approach Considering Time Resolution—0
Packetized Energy Management Controller for Residential Consumers—0
Partially-Supervised Neural Network Model For Quadratic Multiparametric Programming—0
Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network—0
Plug and Play Distributed Control of Clustered Energy Hub Networks—0
Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games—0
Powertrain Hybridization for Autonomous Vehicles—0
Predicting vehicles parking behaviour in shared premises for aggregated EV electricity demand response programs—0
Predictive Energy Management for Battery Electric Vehicles with Hybrid Models—0
Predictive Energy Management for Recuperation Axles in Refrigerated Trailers—0
Preventive Energy Management for Distribution Systems Under Uncertain Events: A Deep Reinforcement Learning Approach—0
Privacy-Preserving Decentralized Energy Management for Networked Microgrids via Objective-Based ADMM—0
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity—0
Privacy-Preserving Transactive Energy Management for IoT-aided Smart Homes via Blockchain—0
Privacy-preserving transactive energy systems: Key topics and open research challenges—0
Privacy Protection in Prosumer Energy Management Based on Federated Learning—0
Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning—0
CLOVER : Probabilistic Forecasting with Coherent Learning Objective Reparameterization—0
Probabilistic Load Forecasting via Point Forecast Feature Integration—0
Progress and summary of reinforcement learning on energy management of MPS-EV—0
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring—0
Proton Flows, Proton Gradients and Subcellular Architecture in Biological Energy Conversion—0
PV-Powered CoMP-Based Green Cellular Networks with a Standby Grid Supply—0
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