Forecasting hourly electricity generation by a solar power plant using machine learning algorithms

Forecasting hourly electricity generation by a solar power plant using machine learning algorithms

Relevance. The need to develop energy-saving approaches through the use of data mining tools to improve the efficiency of management decision-making and more optimal use of energy resources. Forecasting the amount of electric energy generated by a solar power plant will allow optimal electricity di...

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Bibliographic Details
Main Authors:	Anzhelika D. Morgoeva, Irbek D. Morgoev, Roman V. Klyuev, Svetlana S. Kochkovskaya
Format:	Article
Language:	Russian
Published:	Tomsk Polytechnic University 2023-12-01
Series:	Известия Томского политехнического университета: Инжиниринг георесурсов
Subjects:	Solar power energy saving forecasting data mining machine learning gradient boosting
Online Access:	https://izvestiya.tpu.ru/archive/article/view/4253

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