Performance Evaluation of Two Machine Learning Techniques in Heating and Cooling Loads Forecasting of Residential Buildings

Performance Evaluation of Two Machine Learning Techniques in Heating and Cooling Loads Forecasting of Residential Buildings

Nowadays, since energy management of buildings contributes to the operation cost, many efforts are made to optimize the energy consumption of buildings. In addition, the most consumed energy in the buildings is assigned to the indoor heating and cooling comforts. In this regard, this paper proposes...

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Bibliographic Details
Main Authors: Arash Moradzadeh, Amin Mansour-Saatloo, Behnam Mohammadi-Ivatloo, Amjad Anvari-Moghaddam
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
energy management
load forecasting
heating and cooling
machine learning
multi-layer perceptron (MLP)
support vector regression (SVR)
Online Access:https://www.mdpi.com/2076-3417/10/11/3829

Internet

https://www.mdpi.com/2076-3417/10/11/3829

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