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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 51–100 of 515 papers

TitleStatusHype
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
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction—0
Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games—0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
Benchmarking Machine Learning Methods for Distributed Acoustic Sensing—0
Active Inference for Energy Control and Planning in Smart Buildings and Communities—0
Aging-aware Energy Management for Residential Multi-Carrier Energy Systems—0
Advancing MG Energy Management: A Rolling Horizon Optimization Framework for Three-Phase Unbalanced Networks Integrating Convex Formulations—0
A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine LearningCode0
Analysis and Knowledge Discovery from Sensors Data to Improve Energy Efficiency—0
Forecast-Driven Scenario Generation for Building Energy Management Using Stochastic Optimization—0
Integrated Energy Management for Operational Cost Optimization in Community Microgrids—0
Co-Optimizing Distributed Energy Resources under Demand Charges and Bi-Directional Power Flow—0
Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks—0
Privacy Protection in Prosumer Energy Management Based on Federated Learning—0
Game Theory in Formula 1: Multi-agent Physical and Strategical Interactions—0
Community Energy Management System for Fast Frequency Response: A Hierarchical Control Approach—0
Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm—0
NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics—0
Proton Flows, Proton Gradients and Subcellular Architecture in Biological Energy Conversion—0
Machine Learning-based Regional Cooling Demand Prediction with Optimised Dataset Partitioning—0
PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security—0
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models—0
Design and Implementation of Scalable Communication Interfaces for Reliable and Stable Real-time Co-Simulation of Power Systems—0
A Comprehensive Energy Management Application Method considering Smart Home Occupant Behavior using IoT and Real Big Data—0
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types—0
Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities—0
Economic Nonlinear Model Predictive Control of Prosumer District Heating Networks: The Extended Version—0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles—0
An Extensive and Methodical Review of Smart Grids for Sustainable Energy Management-Addressing Challenges with AI, Renewable Energy Integration and Leading-edge Technologies—0
Learning to Optimize Joint Chance-constrained Power Dispatch Problems—0
Distributed Multi-Head Learning Systems for Power Consumption Prediction—0
Optimizing Carbon Footprint in ICT through Swarm Intelligence with Algorithmic Complexity—0
Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems—0
Large Language Model Interface for Home Energy Management Systems—0
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers—0
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data—0
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOCode0
Preventive Energy Management for Distribution Systems Under Uncertain Events: A Deep Reinforcement Learning Approach—0
Short-Term Forecasting of Thermostatic and Residential Loads Using Long Short-Term Memory Recurrent Neural Networks—0
A novel ML-fuzzy control system for optimizing PHEV fuel efficiency and extending electric range under diverse driving conditions—0
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model—0
Utility-Scale Bifacial Solar Photovoltaic System: Optimum Sizing and Techno-Economic Evaluation—0
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks—0
Distributionally Robust Chance-Constrained Energy Management of Multi-Building Residential Apartment Complexes Using Wasserstein Metric—0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
Real-Time AI-Driven People Tracking and Counting Using Overhead Cameras—0
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