Прогнозирование генерации возобновляемых источников энергии с использованием алгоритмов машинного обучения (Forecasting of renewable energy sources power generation using machine learning algorithms)

Аннотация

The purpose of the presented work is to improve the methods of short-term forecasting electricity generation which are suitable for Solar Power Plants. Thesis examines the issues of increasing the accuracy of forecasting the generation of photovoltaic stations using meteorological data available on the Internet, using machine learning methods and implementing an algorithm for preprocessing the initial data.