Comparison of Heat Demand Prediction Using Wavelet Analysis and Neural Network for a District Heating Network

Comparison of Heat Demand Prediction Using Wavelet Analysis and Neural Network for a District Heating Network

Short-Term Load Prediction (STLP) is an important part of energy planning. STLP is based on the analysis of historical data such as outdoor temperature, heat load, heat consumer configuration, and the seasons. This research aims to forecast heat consumption during the winter heating season. By prepr...

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Bibliographic Details
Main Authors: Szabolcs Kováč, German Micha’čonok, Igor Halenár, Pavel Važan
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
artificial neural networks
data analysis
signal decomposition
district heating
forecasting
Online Access:https://www.mdpi.com/1996-1073/14/6/1545

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