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. .
[PDF Version]
Solar energy in Ghana is steadily gaining popularity, particularly in regions where the national grid is unreliable or non-existent. In rural areas, solar panels have become a beacon of hope, providing consistent electricity to power homes, schools, and businesses. . However, the use of solar panels and solar energy is still in the early stages. As the world focuses more on clean energy, Ghana is slowly embracing solar technology, thanks to more startups and greater awareness among its people. The Popularity of Solar Energy in Ghana Solar energy in Ghana is. . Installing Solar Panels in Ghana is an eco-friendly solution to reduce energy costs and embrace renewable energy. Learn the steps and expert tips to get started. In this guide, you will learn how to install solar panels in Ghana step-by-step. With a focus on innovation and sustainability, the company has installed 5MW of. .
[PDF Version]
