This power station is the first grid-connected solar project developed by an IPP in Burundi. It is also the first major electricity generation investment in the country, in the past 30 years. The renewable energy infrastructure was on the books since 2016. Attempts were made to start construction in 2018, but the process aborted. In January 2020, construction started in earnest. Despite delays attributed to the, the power installation was commercially c.
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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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