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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The 100 MW Rosh Pinah solar plant, located in southern Namibia, will be designed and constructed over an 18-month period by Zhejiang Chint New Energy Development and China Jiangxi International Economic and Technical. Commercial operations are expected to begin in the second quarter. . Namibia's state-owned utility, NamPower, has partnered with two Chinese companies to develop the country's largest solar power plant, valued at N$1. 6 billion (US$89 million). Located about 33 km northwest of Rosh Pinah in the Kharas. . Namibia is building its largest solar photovoltaic plant—a 100-megawatt facility in the Karas region—to curb its reliance on imported electricity. Two Chinese companies will engineer and construct the N$1. 6 billion project, significantly boosting the country's energy capacity. Valued at N$1.
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