Prediction of room temperature in Trombe solar wall systems using machine learning algorithms

Prediction of room temperature in Trombe solar wall systems using machine learning algorithms

A Trombe wall-heating system is used to absorb solar energy to heat buildings. Different parameters affect the system performance for optimal heating. This study evaluated the performance of four machine learning algorithms—linear regression, k-nearest neighbors, random forest, and decision tree—for...

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Bibliographic Details
Main Authors: Seyed Hossein Hashemi, Zahra Besharati, Seyed Abdolrasoul Hashemi, Seyed Ali Hashemi, Aziz Babapoor
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-12-01
Series:Energy Storage and Saving
Subjects:
Trombe wall
Solar energy
Thermal storage wall
Machine learning algorithms
Online Access:http://www.sciencedirect.com/science/article/pii/S2772683524000396
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