The two statistical approaches are the neural network and the random forest regression models, which are popular in machine learning.
The random forest and the neural network models provide a solution trained on the output of the simulation-based model aiming to enhance the calculation speed.
The DR is highlighted as one of the most promising ways of providing the electricity system with demand flexibility; as a result, many system operators ...
TL;DR: This work proposes a solution to a problem of selecting appropriate escalators from a large pool to accommodate the target of power curtailment at a ...
A machine learning approach to modelling escalator demand response. S Uimonen, T Tukia, J Ekström, ML Siikonen, M Lehtonen. Engineering Applications of ...
Semen Uimonen, Toni Tukia, Jussi Ekström, Marja-Liisa Siikonen, Matti Lehtonen: A machine learning approach to modelling escalator demand response.
A machine learning approach to modelling escalator demand response · Article. Apr 2020. This article relates to the topic of the escalator demand response ...
& Lehtonen, M., A machine learning approach to modelling escalator demand response. Engineering Applications of. Artificial Intelligence, 90, 2020. DOI ...
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Our structural modeling approach allows us to draw specific conclusions about the factors influencing the observed consumption patterns. The presence of ...
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This paper examines dynamics of escalator energy consumption in different passenger volumes with a simulation model of an existing escalator pair installation.