Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage
University of Nottingham Malaysia Campus · Indonesia University of Education · +3 more institutions
Abstract
Abstract This article evaluates the present global condition of solar and wind energy adoption and explores their benefits and limitations in meeting energy needs. It examines the historical and evolutionary growth of solar and wind energy, global trends in the usage of renewable energy, and upcoming technologies, including floating solar and vertical‐axis wind turbines. The importance of smart grid technology and energy storage alternatives for enhancing the effectiveness and dependability of renewable energy is explored. In addition, the role of Electric Vehicles (EVs) in a modern smart grid has been assessed. Furthermore, the economic benefits, and most recent technological developments of solar and wind…
Citation impact
- FWCI
- 265.20
- Percentile
- 100%
- References
- 144
Authors
6Topics & keywords
- Renewable energy
- Wind power
- Environmental economics
- Energy engineering
- Intermittent energy source
- Energy development
- Solar energy
- Environmental impact of the energy industry