Hierarchical reconciliation of convolutional gated recurrent units for unified forecasting of branched and aggregated district heating loads DOI

Xinyi Li,

Shitong Wang,

Zhiqiang Chen

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134097 - 134097

Published: Dec. 1, 2024

Language: Английский

Developing surrogate models for the early-stage design of residential blocks using graph neural networks DOI Creative Commons
Zhaoji Wu, Mingkai Li, Wenli Liu

et al.

Building Simulation, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

Citations

3
A year-round efficient air source heat pump with separate and distant heat extraction for non-decaying heating capacity during defrosting DOI

Chenjiyu Liang,

Xianting Li,

Xiangjun Meng

et al.

Energy, Journal Year: 2025, Volume and Issue: 315, P. 134404 - 134404

Published: Jan. 1, 2025

Language: Английский

Citations

1
Management of waste heat in residential buildings: Predictive modelling and sensitivity analysis of variables characterising shower heat exchanger conditions DOI
Sabina Kordana, Beata Piotrowska, Mariusz Starzec

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134743 - 134743

Published: Jan. 1, 2025

Language: Английский

Citations

1
Frontiers in machine learning strategies for dye removal in water treatment DOI
Guanfeng Zheng, Peng Fu, Xinglin Li

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 71, P. 107251 - 107251

Published: Feb. 15, 2025

Language: Английский

Citations

1
Predicting Energy Consumption of Residential Buildings Using Metaheuristic-optimized Artificial Neural Network Technique in Early Design Stage DOI
Mosbeh R. Kaloop, Furquan Ahmad,

Pijush Samui

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112749 - 112749

Published: Feb. 1, 2025

Language: Английский

Citations

1
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
Multi-Factorial Complex Effects Analysis of Energy Consumption Time Series with the Novel Nonlinear Grey Interaction Model DOI
Qi Ding,

Zhaohu Wang,

Xinping Xiao

et al.

Computational Economics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Language: Английский

Citations

0
An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel DOI Creative Commons
Mengyang Li,

Liu Chen

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104181 - 104181

Published: Jan. 1, 2025

Language: Английский

Citations

0
Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques DOI Creative Commons
Halit Tutar, Şenol Çelik, Hasan Er

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0318230 - e0318230

Published: Feb. 5, 2025

In this study, the effect of morphological traits on fresh herbage yield sorghum x sudangrass hybrid plant grown in Konya province, which is largest cereal production area Turkey, was analyzed with some data mining methods. For purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) were used, prediction performances these methods compared. Plant height 251.22 cm, stem diameter 7.03 mm, 8010.69 kg da -1 , crude protein ratio 9.09%, acid detergent fiber 33.23%, neutral 57.44%, lignin 7.43%, dry matter digestibility 63.01%, intake 2.11%, relative feed value 103.02 descriptive statistical values that computed. fit statistics, including coefficient determination (R 2 ), adjusted R root mean square error (RMSE), absolute percentage (MAPE), standard deviation (SD ratio), Mean Absolution Error (MAE) Relative (RAE), used to evaluate abilities fitted models. The MARS method shown be best model for describing yield, lowest RMSE, MAPE, SD ratio, MAE RAE (137.7, 1.488, 0.072, 109.718 0.017, respectively), as well highest (0.995) (0.991). experimental results show algorithm most suitable predicting hybrid, providing a good alternative other algorithms.

Language: Английский

Citations

0
Performance Analysis and Optimization of Photovoltaic thermal Coupled Ground Source Heat Pump System DOI
Wenqi Wei,

Han Yue,

Jiguang Huang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134955 - 134955

Published: Feb. 1, 2025

Language: Английский

Citations

0