An Ensemble Model for the Energy Consumption Prediction of Residential Buildings DOI

Ritwik Mohan,

Nikhil Pachauri

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134255 - 134255

Published: Dec. 1, 2024

Language: Английский

Enhanced short-term load forecasting with hybrid machine learning models: CatBoost and XGBoost approaches DOI
Lijie Zhang, Dominik Jánošík

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 241, P. 122686 - 122686

Published: Nov. 24, 2023

Language: Английский

Citations

46
An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms DOI
Xuetao Li, Ziwei Wang, Chengying Yang

et al.

Energy, Journal Year: 2024, Volume and Issue: 296, P. 131259 - 131259

Published: April 9, 2024

Language: Английский

Citations

44
Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings DOI
He Dasi, Ying Zhang,

MD Faisal Bin Ashab

et al.

Energy, Journal Year: 2024, Volume and Issue: 291, P. 130297 - 130297

Published: Jan. 15, 2024

Language: Английский

Citations

24
Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach DOI
Behnam Sadaghat, Sadegh Afzal,

Ali Javadzade Khiavi

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 251, P. 123934 - 123934

Published: April 18, 2024

Language: Английский

Citations

19
Data-driven Approach to Estimate Urban Heat Island Impacts on Building Energy Consumption DOI
Alireza Attarhay Tehrani, Saeideh Sobhaninia,

Niloofar Nikookar

et al.

Energy, Journal Year: 2025, Volume and Issue: 316, P. 134508 - 134508

Published: Jan. 11, 2025

Language: Английский

Citations

3
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms DOI
Sadegh Afzal, Afshar Shokri,

Behrooz M. Ziapour

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 127, P. 107356 - 107356

Published: Nov. 9, 2023

Language: Английский

Citations

40
Low-carbon efficiency analysis of rail-water multimodal transport based on cross efficiency network DEA approach DOI

Weipan Zhang,

Xianhua Wu, Jihong Chen

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 132348 - 132348

Published: July 6, 2024

Language: Английский

Citations

15
Adaptive Forecasting in Energy Consumption: A Bibliometric Analysis and Review DOI Creative Commons
Manuel Jaramillo, Wilson Pavón, L.F. Jaramillo

et al.

Data, Journal Year: 2024, Volume and Issue: 9(1), P. 13 - 13

Published: Jan. 11, 2024

This paper addresses the challenges in forecasting electrical energy current era of renewable integration. It reviews advanced adaptive methodologies while also analyzing evolution research this field through bibliometric analysis. The review highlights key contributions and limitations models with an emphasis on traditional methods. analysis reveals that Long Short-Term Memory (LSTM) networks, optimization techniques, deep learning have potential to model dynamic nature consumption, but they higher computational demands data requirements. aims offer a balanced view advancements methods, guiding researchers, policymakers, industry experts. advocates for collaborative innovation enhance accuracy support development resilient, sustainable systems.

Language: Английский

Citations

12
Optimization of biomass-fueled multigeneration system using SOFC for electricity, hydrogen, and freshwater production DOI
Afshar Shokri,

Hamid Shakibi,

Saeid Azizi

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 88, P. 1293 - 1320

Published: Sept. 25, 2024

Language: Английский

Citations

10
Using machine learning techniques to identify major determinants of electricity usage in residential buildings of Pakistan DOI

Muhammad Sohaib Jarral,

Khuram Pervez Amber, Taqi Ahmad Cheema

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: 100, P. 111800 - 111800

Published: Jan. 7, 2025

Language: Английский

Citations

1