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

Thermophotovoltaic emitter design with a hyper-heuristic custom optimizer enabled by deep learning surrogates DOI Creative Commons

Preston Bohm,

Chiyu Yang, Akanksha K. Menon

et al.

Energy, Journal Year: 2024, Volume and Issue: 291, P. 130424 - 130424

Published: Jan. 21, 2024

Language: Английский

Citations

5
Estimation of concrete materials uniaxial compressive strength using soft computing techniques DOI Creative Commons

Matiur Rahman Raju,

Mahfuzur Rahman, Md Mehedi Hasan

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(11), P. e22502 - e22502

Published: Nov. 1, 2023

This study addresses a critical gap in concrete strength prediction by conducting comparative analysis of three deep learning algorithms: convolutional neural networks (CNNs), gated recurrent units (GRUs), and long short-term memory (LSTM) networks. Unlike previous studies that employed various machine algorithms on diverse types, our focuses mixed-design fine-tuned algorithms. The objective is to identify the optimal (DL) algorithm for predicting uniaxial compressive strength, crucial parameter construction structural engineering. dataset comprises experimental records concrete, models were developed optimized predictive accuracy. results show CNN model consistently outperformed GRU LSTM. Hyperparameter tuning regularization techniques further improved performance. research offers practical solutions material property industry, potentially reducing resource burdens enhancing efficiency quality.

Language: Английский

Citations

11
Short-term forecasting of streamflow by integrating machine learning methods combined with metaheuristic algorithms DOI
Faxian Jia, Zijiang Zhu, Weihuang Dai

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 245, P. 123076 - 123076

Published: Dec. 29, 2023

Language: Английский

Citations

11
Solving few-shot problem in wind speed prediction: A novel transfer strategy based on decomposition and learning ensemble DOI
Yang Sun, Zhirui Tian

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124717 - 124717

Published: Oct. 24, 2024

Language: Английский

Citations

4
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

Citations

4