This review critically examines the integration of Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) into smart microgrid platforms, focusing on their role in optimizing sustainable energy management.
Solar, wind, and tidal energy exhibit a good degree of complementarity and help reduce storage requirements. However, the high cost of storage makes the oversizing of renewable sources even more attractive to ensure 100% load supply.
Various major players dominating the microgrid companies include Schneider Electric (France), Siemens (Germany), Eaton (Ireland), General Electric (US), ABB (Switzerland), Hitachi Energy Ltd. (Switzerland), Honeywell International Inc.
This review paper lays a strong foundation for identifying the potential benefits of peak shaving in microgrid systems and establishing suitable projects for practical effectuation. Introduction Rural electrification is a critical issue around the world.
The latest trends in renewable energy microgrids for rural communities in the US include advancements in battery storage, smart grid technologies, and a focus on community-owned projects to enhance energy independence and sustainability.