The project is being funded by the World Bank and aims to build 155 base stations in the first phase. Each station will cover a village, using Huawei's one-stop-shop, low-cost RuralStar solution, which features a 2G+3G network architecture. . Côte d'Ivoire, located above the equator and south of the Tropic of Cancer, benefits from a distinctive geographical advantage and favorable climate. These conditions create a conducive environment for the country's agriculture. Geographically, Côte d'Ivoire has a flat terrain with elevations that. . The Republic of Côte d'Ivoire plans to build 12 photovoltaic solar plants with a combined capacity of 678 MW across the country by 2030, and aims to reach a total capacity of 1,686 MW by 2040. The Ivory Coast's Minister of Mines, Oil, and Energy, Mamadou Sangafowa Coulibaly, has announced plans to. .
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This paper presents a variety of ML approaches combined with XAI to predict solar power generation, aiming to optimize energy management in smart grids. . Machine learning (ML) algorithms can provide highly accurate predictions, but their complexity often makes them difficult to interpret due to their black-box nature. Combining ML and Explainable Artificial Intelligence (XAI) makes these models more transparent and enables users to understand the. . This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power generation. The LSTM component forecasts power generation rates based on environmental conditions. .
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