With the constant growth of renewable energy sources such as solar and wind energy, numerous challenges arise due to their variability and intermittence. These factors must be considered to effectively harness these energy sources, thus highlighting the necessity for a reliable method to predict energy generation. The ability to make accurate predictions becomes crucial in various applications, including energy market planning.
How can a company precisely predict its green energy generation? This question underscores the need to develop a model that enables users and market regulators to anticipate renewable energy generation. Such a tool would prove invaluable for daily planning and the efficient dispatch of energy. With access to this data in advance, one could not only foresee potential challenges in project planning but also champion the use of clean and sustainable energy.