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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 101–150 of 515 papers

TitleStatusHype
Energy Management for Prepaid Customers: A Linear Optimization Approach—0
Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogramming—0
Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systemsCode0
A Differential Smoothness-based Compact-Dynamic Graph Convolutional Network for Spatiotemporal Signal Recovery—0
Designing model predictive control strategies for grid-interactive water heaters for load shifting applications—0
LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids—0
Optimal price signal generation for demand-side energy management—0
Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System—0
Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction—0
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments—0
Strategies for Resilience and Battery Life Extension in the Face of Communication Losses for Isolated Microgrids—0
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living—0
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization—0
Safe Reinforcement Learning for Power System Control: A Review—0
Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management SystemsCode0
A Review of Safe Reinforcement Learning Methods for Modern Power Systems—0
Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems—0
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning—0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles—0
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting—0
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning—0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive ControlCode2
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1—0
Predictive Energy Management for Battery Electric Vehicles with Hybrid Models—0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network—0
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction—0
A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learningCode1
HomeLabGym: A real-world testbed for home energy management systems—0
Electrification of Clay Calcination: A First Look into Dynamic Modeling and Energy Management for Integration with Sustainable Power Grids—0
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning AgentsCode0
A Survey on Semantic Modeling for Building Energy Management—0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks—0
Optimal EV Charging Scheduling at Electric Railway Stations Under Peak Load Constraints—0
Model Predictive Control based Energy Management System for Home Energy Resiliency—0
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems—0
EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management—0
Generalized Policy Learning for Smart Grids: FL TRPO Approach—0
Transactive Local Energy Markets Enable Community-Level Resource Coordination Using Individual Rewards—0
Learning Hierarchical Control Systems for Autonomous Systems with Energy Constraints—0
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data—0
Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees—0
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers—0
Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle—0
Humans-in-the-Building: Getting Rid of Thermostats for Optimal Thermal Comfort Control in Energy Management Systems—0
A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILM—0
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships—0
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