A Cross-Domain Short-Term Power Prediction Method Based on Multiple Environmental Sensors in Photovoltaic Systems and Domain Generalisation Theory DOI
Dongze Li, Liqiang Liu, Yongsheng Qi

et al.

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 25(3), P. 5811 - 5823

Published: Dec. 18, 2024

Language: Английский

Analyzing variability in urban energy poverty: A stochastic modeling and Monte Carlo simulation approach DOI
Sidique Gawusu, Abubakari Ahmed

Energy, Journal Year: 2024, Volume and Issue: 304, P. 132194 - 132194

Published: June 24, 2024

Language: Английский

Citations

12
Enhancing short-term net load forecasting with additive neural decomposition and Weibull Attention DOI
Bing Wu, Jiang‐Wen Xiao,

Shanlin Wang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135486 - 135486

Published: March 1, 2025

Language: Английский

Citations

1
AutoPQ: Automating quantile estimation from point forecasts in the context of sustainability DOI Creative Commons
Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 392, P. 125931 - 125931

Published: April 23, 2025

Language: Английский

Citations

0
MIG-EWPFS: An ensemble probabilistic wind speed forecasting system integrating multi-dimensional feature extraction, hybrid quantile regression, and Knee improved multi-objective optimization DOI
Qianyi Xing,

Xiaojia Huang,

Kang Wang

et al.

Energy, Journal Year: 2025, Volume and Issue: 324, P. 136060 - 136060

Published: April 23, 2025

Language: Английский

Citations

0
A load forecasting method based on heterogeneous network for integrated electricity and heat systems DOI
Bohan Li, Xueping Li,

Y. Cai

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111725 - 111725

Published: April 18, 2025

Language: Английский

Citations

0
A review of deep learning methods for multi-energy load joint forecasting in integrated energy systems DOI Open Access

Wuyou Xiao,

Yibo Ding, Zhao Xu

et al.

Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 3001(1), P. 012017 - 012017

Published: April 1, 2025

Abstract To accommodate the large-scale integration of renewable energy, and enhance utilization efficiency multiple energy types, such as electricity, gas, cooling, heat, Integrated Energy System (IES) has emerged in recent years. The forecasting loads, is a key challenge guiding operational strategies IES, development deep learning (DL) technology, with its advantages accuracy, provides an effective solution. This review first explains uniqueness challenges IES multi-load forecasting, which involves predicting load time series while accounting for temporal characteristics each their interdependencies. It then summarizes traditional methods analyses DL-based methods, focusing on aspects capability dealing characteristics, coupling, multi-task learning, privacy protection. Finally, future trends DL are discussed.

Language: Английский

Citations

0
P-KTFNet: A Prior Knowledge Enhanced Time-Frequency Forecasting Model for Natural Gas Consumption DOI

Pengtao Niu,

Jian Du,

Ning Xu

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136559 - 136559

Published: May 1, 2025

Language: Английский

Citations

0
Probabilistic load forecasting for integrated energy systems based on quantile regression patch time series Transformer DOI
Wei Zhang, Hongyi Zhan,

Hang Sun

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 13, P. 303 - 317

Published: Dec. 12, 2024

Language: Английский

Citations

2
Analyzing Variability in Urban Energy Poverty: A Stochastic Modeling and Monte Carlo Simulation Approach DOI
Sidique Gawusu, Abubakari Ahmed

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0
Robust Scheduling of Spinning Reserve Adopting Risk Assessment for Power Systems Engaging Building Energy Flexibility DOI

Binglong Han,

Hangxin Li, Shengwei Wang

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0