Leveraging the machine learning techniques for demand-side flexibility – A comprehensive review DOI
Arqum Shahid, Roya Ahmadiahangar, Argo Rosin

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 238, P. 111185 - 111185

Published: Oct. 28, 2024

Language: Английский

Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems DOI Creative Commons
Yuan Gao, Zehuan Hu,

Shun Yamate

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: unknown, P. 125387 - 125387

Published: Jan. 1, 2025

Language: Английский

Citations

0
High-performance thermal storage materials using wastepaper aerogels for green building applications DOI
Jun Li,

Yingbiao Yuan,

Yimin Zeng

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 115, P. 115986 - 115986

Published: Feb. 27, 2025

Language: Английский

Citations

0
Data-Driven Optimal Dispatch of Integrated Energy in Zero-Carbon Building System Considering Occupant Comfort and Uncertainty DOI Creative Commons
K. Q. Hua, Qingshan Xu, Shujuan Li

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4408 - 4408

Published: April 16, 2025

Zero-carbon emissions in building systems play a critical role promoting energy transition and mitigating climate change, while optimal dispatch highly electrified is essential to achieve this goal. To address issue, we develop an integrated system model for zero-carbon buildings. The carbon capture processing devices are incorporated the system, uncertainty of renewable sources handled by robust optimization approach. Occupant comfort also expressed using chance constraints minimize costs. Furthermore, propose data-driven approach solve problem, where uncertain parameters clustered into subsets construct sets. Numerical results demonstrate that total cost can be reduced 18.87% summer 27.22% winter when relaxing occupant constraints, comparative analysis shows proposed balance between conservativeness computational complexity.

Language: Английский

Citations

0
Experimental and modelling investigation of thermally activated building systems integrated with ground source heat pump systems DOI Creative Commons
Yixuan Li, Craig McLauchlan, Xuemei Gong

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115210 - 115210

Published: Dec. 1, 2024

Language: Английский

Citations

1
Hybrid solar-wind renewable energy systems with energy storage for net/nearly zero energy buildings: An uncertainty-based robust design DOI Creative Commons

Menglong Lu,

Zhihua Wang, Zhenjun Ma

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133965 - 133965

Published: Nov. 1, 2024

Language: Английский

Citations

1
Leveraging the machine learning techniques for demand-side flexibility – A comprehensive review DOI
Arqum Shahid, Roya Ahmadiahangar, Argo Rosin

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 238, P. 111185 - 111185

Published: Oct. 28, 2024

Language: Английский

Citations

0