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...

Full description

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

Internet

https://izvestiya.tpu.ru/archive/article/view/4253

Similar Items