Utilizing Machine Learning and SHAP Values for Improved and Transparent Energy Usage Predictions

The significance of precise energy usage forecasts has been highlighted by the increasing need for sustainability and energy efficiency across a range of industries. In order to improve the precision and openness of energy co... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.061400
Citations
2
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing Machine Learning and SHAP Values for Improved and Transparent Energy Usage Predictions

Abdul Sattar Din, Thamir Hassan Atyia, Mohamad Khairi Ishak, Mohd Fadzli Mohd Salleh et al.
2 citations
Computers, materials & continua/Computers, materials & continua (Print)
Energy Load and Power Forecasting
1.46
article

Utilizing Machine Learning and SHAP Values for Improved and Transparent Energy Usage Predictions

Abdul Sattar Din, Thamir Hassan Atyia, Mohamad Khairi Ishak, Mohd Fadzli Mohd Salleh, Faisal Ghazi Beshaw
article en
2 citations

Abstract

The significance of precise energy usage forecasts has been highlighted by the increasing need for sustainability and energy efficiency across a range of industries. In order to improve the precision and openness of energy co... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(2)
Universiti Sains Malaysia, Ajman University
Affordable and clean energy
Openalex Percentile: Top 18%
Energy Load and Power Forecasting
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.