This paper proposes an optimization framework that integrates deep learning-based solar forecasting with a Genetic Algorithm (GA) for optimal sizing of photovoltaic (PV) and battery energy storage systems (BESS).
The research includes offshore wind, hydrogen, battery, geothermal energy, CO2 storage, and the design and development of new energy systems that integrate new forms of energy with distribution systems, storage systems, and consumers.
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This phase centers on the ongoing exploration and development of a utility-scale photovoltaic system, operated by the most suitable Independent Power Producer (IPP), as a renewable energy source aimed at strengthening Grenada's energy security and decreasing reliance on imported.