In the Saudi market, 1. Each of these technologies offers distinct advantages tailored to the region's renewable energy. . Battery Energy Storage: Saudi Arabia is actively investing in battery energy storage systems (BESS) to store surplus electricity generated from renewable sources like solar and wind. BESS helps balance supply and demand, reduce grid fluctuations, and enhance the reliability of the power grid. . Saudi Arabia has emerged as one of the world's top 10 markets for battery energy storage, coinciding with the launch of the 2,000-megawatt-hour Bisha project, one of the largest energy storage initiatives in the Middle East and Africa. various energy storage devices are prominently available, 2. including lithium-ion batteries, 3. Saudi Arabia has a large electricity consumption base, abundant solar resources, a strong awareness of energy. .
This study evaluates the suitability of selected machine learning (ML) models comprising Linear Regression, Decision Tree, Random Forest and XGBoost, which have been proven to be effective at forecasting. The data forecasting horizon used was a 24-h window in steps of 30 min. . Solar energy forecasting is performed using machine learning for better accuracy and performance. This study evaluates the. . Therefore, this paper starts from summarizing the role and configuration method of energy storage in new energy power stations and then proposes multidimensional evaluation indicators, including the solar curtailment rate, forecasting accuracy, and economics, which are taken as the optimization. . Accurate solar power forecasting is critical for maintaining grid reliability, optimizing energy dispatch, reducing reserve requirements, and enhancing participation in energy markets.
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