Jayarama Pradeep, S. Raja Ratna, P. K. Dhal, K. V. Daya Sagar, P. S. Ranjit, Ravi Rastogi, Vigneshwaran K, A. Rajaram
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DeepFore: A Deep Reinforcement Learning Approach for Power Forecasting in Renewable Energy Systems
An open network known as the “energy internet” links every component of the whole energy supply chains, from the generations. Due to their ability to mimic regional flow dynamics that have an impac...
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.
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