Weather Forecasting with a Focus on Wind Speed and Solar Radiation for Estimating Energy Production in Wind and Solar Power Plants

Due to the growing demand for renewable energy and the necessity to reduce dependence on fossil fuels, accurate weather forecasting, particularly wind speed and solar radiation, plays a critical role in optimizing energy production in wind and solar power plants. This paper examines weather forecasting methods that can enhance prediction accuracy for wind speed and solar radiation. Utilizing historical data and machine learning algorithms, models have been developed to analyze and forecast weather variations over short-term and long-term periods. The results of this study demonstrate that more accurate forecasts can lead to increased power plant efficiency and reduced operational costs.

کلیدواژه ها:

Weather Forecasting ، Wind Speed ، Solar Radiation ، Renewable Energy