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Heat Load Forecasting: Comparison Between Neuro-Fuzzy and Neural Network Approaches, a Real World Case Study

Szabolcs Kováč,I. Halenár,G. Michalconok,A. Nemethova

2021 · DOI: 10.1007/978-3-030-77445-5_47
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TLDR

This paper presents and compares two machine learning approaches – artificial neural networks and neuro-fuzzy and in general, both proposed models can forecast day ahead heat demand relatively accurately.