A Hybrid Machine Learning Approach for High-Accuracy Energy Consumption Prediction Using Indoor Environmental Quality Sensors

A Hybrid Machine Learning Approach for High-Accuracy Energy Consumption Prediction Using Indoor Environmental Quality Sensors

Accurate forecasting of energy consumption in buildings is essential for achieving energy efficiency and reducing carbon emissions. However, many existing models rely on limited input variables and overlook the complex influence of indoor environmental quality (IEQ). In this study, we assess the per...

Full description

Saved in:
Bibliographic Details
Main Authors: Bibars Amangeldy, Nurdaulet Tasmurzayev, Timur Imankulov, Baglan Imanbek, Waldemar Wójcik, Yedil Nurakhov
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Energies
Subjects:
energy consumption
building energy management
machine learning
predictive modeling
indoor environmental quality (IEQ)
support vector regression (SVR)
Online Access:https://www.mdpi.com/1996-1073/18/15/4164
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items