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Akademický článek
Developing Feedforward Neural Networks as Benchmark for Load Forecasting: Methodology Presentation and Application to Hospital Heat Load Forecasting
Autor: Malte Stienecker, Anne Hagemeier
Publikováno v: Energies, Vol 16, Iss 4, p 2026 (2023)
For load forecasting, numerous machine learning (ML) approaches have been published. Besides fully connected feedforward neural networks (FFNNs), also called multilayer perceptron, more advanced ML approaches like deep, recurrent or convolutional neu
Externí odkaz: https://doaj.org/article/a0f8333948aa4493ad44f6e8c3e85cd6
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2
Developing Feedforward Neural Networks as Benchmark for Load Forecasting: Methodology Presentation and Application to Hospital Heat Load Forecasting
Autor: Anne Hagemeier, Malte Stienecker
Publikováno v: Energies
Volume 16
Issue 4
Pages: 2026
For load forecasting, numerous machine learning (ML) approaches have been published. Besides fully connected feedforward neural networks (FFNNs), also called multilayer perceptron, more advanced ML approaches like deep, recurrent or convolutional neu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36caf7af491a66719c81669e0542bcb3
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