Marvels of Artificial and Computational Intelligence in Life Sciences

AI-Based Domestic Load Scheduling and Power Management for Renewable Energy Exporters

Author(s): C. Pradip*, Murugananth Gopal Raj, S. John Alexis and A. Manickavasagam

Pp: 104-120 (17)

DOI: 10.2174/9789815136807123010011

* (Excluding Mailing and Handling)

Abstract

Residential Photovoltaic systems (RPV) are flattering and widespread among customers due to government policies. The power sources available in RPV include a grid, a PV system and a battery. The principal cost of residential photovoltaic systems is a bit high. When more power is exported, the customer who has installed it will export more power for their benefit. It can be achieved by efficiently scheduling the three sources and managing the power export. Artificial Intelligence-based systems can effectively take care of it because they provide effective decision-making solutions.

© 2024 Bentham Science Publishers | Privacy Policy