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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 226–250 of 515 papers

TitleStatusHype
Applications of Linear Defeasible Logic: combining resource consumption and exceptions to energy management and business processes—0
Correlated Deep Q-learning based Microgrid Energy Management—0
Enhancing data security against cyberattacks in artificial intelligence based smartgrid systems with crypto agility—0
Co-Optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering—0
Environmental Sensing by Wearable Device for Indoor Activity and Location Estimation—0
Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System—0
Evaluation methodology of Model Predictive Controllers for building's energy systems—0
Evaluation of Deep Learning-based prediction models in Microgrids—0
Evaluation of Transportation Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability—0
Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision—0
Experimental Validation for Distributed Control of Energy Hubs—0
Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees—0
Explainable Transformer-Based Anomaly Detection for Internet of Things Security Check for updates—0
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data—0
Exploiting Data Centres and Local Energy Communities Synergies for Market Participation—0
Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits—0
Exploring Artificial Intelligence Methods for Energy Prediction in Healthcare Facilities: An In-Depth Extended Systematic Review—0
Exploring Capabilities of Time Series Foundation Models in Building Analytics—0
Fallback Strategies in Operation Control of Microgrids with Communication Failures—0
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles—0
Federated Learning Assisted Distributed Energy Optimization—0
Appliance Operation Modes Identification Using Cycles Clustering—0
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management—0
FedTrees: A Novel Computation-Communication Efficient Federated Learning Framework Investigated in Smart Grids—0
AI-enabled Efficient and Safe Food Supply Chain—0
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