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Deep Learning-Enabled Holistic Control and Prediction System for Building Energy Consumption and Distribution Optimization
Managing a building’s energy consumption while minimizing costs and grid reliance is complex. A novel system is proposed, blending advanced technologies and methodologies. Deep learning techniques,...
期刊介绍:
Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems.
Specific topics covered include:
-Electric machines-
Solid-state control of electric machine drives-
Power electronics converters-
Electromagnetic fields in energy converters-
Renewable energy generators and systems-
Power system planning-
Transmission and distribution-
Power system protection-
Dispatching and scheduling-
Stability, reliability, and security-
Renewable energy integration-
Smart-grid and micro-grid technologies.