Neural network model for enterprise energy consumption forecasting

• Autorzy: Kalinchyk Vasyl , Meita Olexandr , Pobigaylo Vitalii , Kalinchyk Vitalii , Filyanin Danylo

Identyfikatory

DOI

10.53412/jntes-2021-2.3

• Języki publikacji: EN

Abstrakty

EN

This research paper investigates the application of neural network models for forecasting in energy. The results of forecasting the weekly energy consumption of the enterprise according to the model of a multilayer perceptron at different values of neurons and training algorithms are given. The estimation and comparative analysis of models depending on model parameters is made.

Słowa kluczowe

EN

electrical loads; daily schedule; modelling; neural network; multilayer perceptron; MLP

• Wydawca: Kielce University of Technology
• Czasopismo: Journal of New Technologies in Environmental Science
• Rocznik: 2021
• Tom: Vol. 5, nr 2
• Strony: 65--71
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr., wzory

Twórcy

autor

Kalinchyk Vasyl

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

autor

Meita Olexandr

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

autor

Pobigaylo Vitalii

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

autor

Kalinchyk Vitalii

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

autor

Filyanin Danylo

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).