Water quality PH prediction study based on improved Ceemdan and RLNNA DOI

Bingshu Xie,

Huifeng An,

Kuo Zhang

et al.

Published: Dec. 20, 2024

Language: Английский

A coupled framework for power load forecasting with Gaussian implicit spatio temporal block and attention mechanisms network DOI
Dezhi Liu, Xuan Lin,

Hanyang Liu

et al.

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110263 - 110263

Published: March 20, 2025

Language: Английский

Citations

1
Optimization of heating curves for heat pumps in operation: Outdoor temperature ranges for energy-efficient heating curve shifts DOI Creative Commons
Ugne Potthoff,

Tobias Brudermueller,

Konstantin Hopf

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 389, P. 125725 - 125725

Published: March 28, 2025

Language: Английский

Citations

0
A multi-energy load forecasting method based on the Mixture-of-Experts model and dynamic multilevel attention mechanism DOI

Jinxue Hu,

Pengfei Duan, Xiaodong Cao

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135947 - 135947

Published: April 1, 2025

Language: Английский

Citations

0
Online decoupling feature framework for optimal probabilistic load forecasting in concept drift environments DOI
Chaojin Cao, Yaoyao He, Xiaodong Yang

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 392, P. 125952 - 125952

Published: April 25, 2025

Language: Английский

Citations

0
Long-term climate-based sizing and economic assessment of air-water heat pumps for residential heating DOI Creative Commons
Maciej Masiukiewicz, Mariusz Tańczuk, Stanisław Anweiler

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 258, P. 124627 - 124627

Published: Oct. 11, 2024

Language: Английский

Citations

3
Forecasting of Daily Heat Production in a District Heating Plant Using a Neural Network DOI Creative Commons

Adam Maryniak,

Marian Banaś, Piotr Michalak

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4369 - 4369

Published: Sept. 1, 2024

Artificial neural networks (ANNs) can be used for accurate heat load forecasting in district heating systems (DHSs). This paper presents an application of a shallow ANN with two hidden layers the case local DHS. The developed model was to write simple Python 3.10 that operation plant carry out preliminary analysis demand, taking into account ambient temperature on given day. trained using real data from period 2019–2022. training sufficient number 150 epochs. prediction effectiveness indicator proposed. In considered case, network 85% and better comparison five different regression models. tool based open-source programming environment proved its ability predict load.

Language: Английский

Citations

1
Day-ahead bus load forecasting method based on fully connected spatial-temporal graph attention network DOI
Yucong Chen, Bin Li, Biyun Chen

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 241, P. 111294 - 111294

Published: Dec. 5, 2024

Language: Английский

Citations

0
Water quality PH prediction study based on improved Ceemdan and RLNNA DOI

Bingshu Xie,

Huifeng An,

Kuo Zhang

et al.

Published: Dec. 20, 2024

Language: Английский

Citations

0