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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
AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study—0
Leveraging External Factors in Household-Level Electrical Consumption Forecasting using HypernetworksCode0
Evaluation methodology of Model Predictive Controllers for building's energy systems—0
Behavioral Generative Agents for Energy Operations—0
Can Time-Series Foundation Models Perform Building Energy Management Tasks?—0
Model Predictive Control-Based Optimal Energy Management of Autonomous Electric Vehicles Under Cold Temperatures—0
A Data-driven Predictive Control Architecture for Train Thermal Energy Management—0
Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices—0
Partially-Supervised Neural Network Model For Quadratic Multiparametric Programming—0
Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees—0
HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management—0
Algorithmic Control Improves Residential Building Energy and EV Management when PV Capacity is High but Battery Capacity is Low—0
Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning—0
Multi-Objective Optimization Algorithms for Energy Management Systems in Microgrids: A Control Strategy Based on a PHIL System—0
Control of Renewable Energy Communities using AI and Real-World Data—0
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring—0
An Overview of the Prospects and Challenges of Using Artificial Intelligence for Energy Management Systems in Microgrids—0
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach—0
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning—0
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity—0
PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting—0
Nonlinear Online Optimization for Vehicle-Home-Grid Integration including Household Load Prediction and Battery Degradation—0
Control Co-Design Under Uncertainty for Offshore Wind Farms: Optimizing Grid Integration, Energy Storage, and Market Participation—0
Plug and Play Distributed Control of Clustered Energy Hub Networks—0
InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control—0
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