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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
Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale—0
Optimizing Energy Management and Sizing of Photovoltaic Batteries for a Household in Granada, Spain: A Novel Approach Considering Time Resolution—0
Exploring Capabilities of Time Series Foundation Models in Building Analytics—0
Exploiting Data Centres and Local Energy Communities Synergies for Market Participation—0
A Data-Driven Odyssey in Solar Vehicles—0
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems—0
Just In Time TransformersCode0
TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting model—0
Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data—0
Differential Predictive Control of Residential Building HVACs for Maximizing Renewable Local Consumption and Supporting Fast Voltage Control—0
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles—0
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting—0
A System of Bidirectional Power Routing Toward Multi-energy Management—0
SALINA: Towards Sustainable Live Sonar Analytics in Wild Ecosystems—0
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems—0
Strategic Utilization of Cellular Operator Energy Storages for Smart Grid Frequency Regulation—0
Online Energy Optimization in GPUs: A Multi-Armed Bandit ApproachCode0
Methods for Mitigating Uncertainty in Real-Time Operations of a Connected Microgrid—0
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting—0
Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application for Decision-Making—0
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting—0
LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions—0
Predictive Energy Management for Recuperation Axles in Refrigerated Trailers—0
Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems—0
Weather Prediction Using CNN-LSTM for Time Series Analysis: A Case Study on Delhi Temperature Data—0
Model Predictive Online Trajectory Planning for Adaptive Battery Discharging in Fuel Cell Vehicle—0
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
A Review of Safe Reinforcement Learning Methods for Modern Power Systems—0
Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management SystemsCode0
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
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
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1—0
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