Energy-flexibility strategy for residential blocks with multiple morphologies based on energy, economy, and carbon reduction performance DOI
Haida Tang, Yuqin Wang, Chunying Li

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112333 - 112333

Published: Nov. 1, 2024

Language: Английский

Enhancing urban solar irradiation prediction with shadow-attention graph neural networks: Implications for net-zero energy buildings in New York City DOI
Zheng Li, Jun Ma, Qian Wang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 120, P. 106133 - 106133

Published: Jan. 8, 2025

Language: Английский

Citations

1

Evolving typical meteorological year (TMY) data for building energy simulation: a comprehensive review of methods, challenges, and future directions DOI
Mohammed Rady, Mohd Khairul Idlan Muhammad, Shamsuddin Shahid

et al.

Advances in Building Energy Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: Jan. 31, 2025

Language: Английский

Citations

1

Optimizing electricity peak shaving through stochastic programming and probabilistic time series forecasting DOI
Syed Rafayal, Aliaa Alnaggar, Mücahit Çevik

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 88, P. 109163 - 109163

Published: March 28, 2024

Language: Английский

Citations

7

Assessing Urban Morphology's Impact on Solar Potential of High-Rise Facades in Hong Kong Using Machine Learning: An Application for FIPV Optimization DOI
Lulu Tao, Mengmeng Wang, Changying Xiang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105978 - 105978

Published: Nov. 13, 2024

Language: Английский

Citations

6

Data-Driven Optimization Reveals the Impact of Urban Heat Island Effect on the Retrofit Potential of Building Envelopes DOI

Renge Li,

Chenyu Huang,

Wenli Xin

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112367 - 112367

Published: Nov. 1, 2024

Language: Английский

Citations

4

Large-scale building-level electricity consumption estimation for multiple building types: A Case study from Dongguan, China DOI
Geng Liu,

Jinpei Ou,

Yuebing Zheng

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106224 - 106224

Published: Feb. 1, 2025

Language: Английский

Citations

0

Modelling the energy footprint of urban form in Istanbul: A big data and machine learning approach DOI

melis karlı,

Fatih Terzi

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115495 - 115495

Published: Feb. 1, 2025

Language: Английский

Citations

0

Impact of morphological parameters on carbon emission intensity in cold-region university campus clusters: Simulation and optimization DOI
Jiayang Jiang,

H.C. van der Mei,

Yueran Wang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 124, P. 106296 - 106296

Published: March 23, 2025

Language: Английский

Citations

0

Explaining building energy efficiency prediction through architectural and engineering solutions considering environmental impacts using a hybrid model DOI
Semi Emrah Aslay

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115614 - 115614

Published: March 1, 2025

Language: Английский

Citations

0

Spatial Data Management Strategies to Improve Green Innovation DOI
Jan Vrba, Muhammad Akbar,

Emmanuel Emmanuel Eze

et al.

Advances in computer and electrical engineering book series, Journal Year: 2025, Volume and Issue: unknown, P. 247 - 272

Published: Jan. 17, 2025

Effective management of spatial data can drive green innovation by identifying environmental challenges such as air and water quality, deforestation, soil health, climate vulnerability. Spatial supports pollution detection forest cover analysis, along with sampling for erosion assessment. It also guide targeted initiatives like clean efforts sustainable forestry. Moreover, it optimize resource allocation pinpointing renewable energy sources materials. tailor innovations to local contexts, inform urban planning, enhance waste agriculture practices, monitor impact. Key strategies involve collecting high-quality from diverse sources, integrating into accessible platforms, ensuring quality. Collaboration knowledge sharing data's role in innovation. Challenges access, ownership, privacy concerns necessitate solutions open policies, clear agreements, capacity-building programs.

Language: Английский

Citations

0