Machine Learning for a Power Consumption and Generation Prediction

The paper is devoted to the preparation and analysis of data sets in order to improve the prediction of the amount of consumed and generated electrical energy volumes using machine learning methods. The importance level and influence on predicting the time of day, month, year, temperature, humidity,...

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Bibliographic Details
Main Authors: Dmytro Serhiyovych Zaruba, Mykhailo Yuriyovych Shvets, Yurii Vitaliyovich Khokhlov
Format: Article
Language:English
Published: Igor Sikorsky Kyiv Polytechnic Institute 2019-12-01
Series:Mìkrosistemi, Elektronìka ta Akustika
Subjects:
Online Access:http://elc.kpi.ua/article/view/186996