A synergistic model framework for identifying variable renewable energy integration capacity and deployment sites for hydro-wind-PV integrated energy bases DOI
Z.-Y. Huo, Juntao Zhang,

Chuntian Cheng

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134326 - 134326

Published: Dec. 1, 2024

Language: Английский

Modelling potential land suitability of large-scale wind energy development using explainable machine learning techniques: Applications for China, USA and EU DOI
Yanwei Sun, Ying Li,

Run Wang

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 302, P. 118131 - 118131

Published: Jan. 30, 2024

Language: Английский

Citations

14

China's onshore wind energy potential in the context of climate change DOI
Ling Ji, Jiahui Li, Lijian Sun

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 203, P. 114778 - 114778

Published: July 29, 2024

Language: Английский

Citations

10

Optimal site selection for wind-solar‑hydrogen storage power plants based on geographic information system and multi-criteria decision-making model: A case study from China DOI
Hui Zhao, Wei Wang

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 112, P. 115470 - 115470

Published: Jan. 23, 2025

Language: Английский

Citations

2

A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP DOI Open Access
Meysam Asadi, Kazem Pourhossein, Younes Noorollahi

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(10), P. 8359 - 8359

Published: May 21, 2023

Currently, worldwide attention to clean energy and sustainable has been expedited because of its many environmental benefits. In fact, wind solar energies play a prime role in decarbonizing the market. However, finding most suitable locations for wind/solar power plants is difficult non-homogeneous distribution these sources. This paper presents novel method selecting optimal farms by mapping space decision criteria site score. addition, multiple linear regression model was used, with help combination GIS AHP methods, siting plants. The scoring used this study reliable globally evaluated; therefore, scores are accurate effective. To reveal ability proposed method, two areas were investigated researched. results achieved based on introduced showed that, case 1, an area about 9, 4 7 km2 construction wind, plants, respectively. also fourteen existing wind/solar, from five continents around world. that suggested acts same as real data. addition interest hold development renewable area, approach may be applied elsewhere select optimum sites solar, combined farms.

Language: Английский

Citations

22

Recognizing the mapping relationship between wind power output and meteorological information at a province level by coupling GIS and CNN technologies DOI
Juntao Zhang,

Chuntian Cheng,

Yu Shen

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 360, P. 122791 - 122791

Published: Feb. 7, 2024

Language: Английский

Citations

7

Multi-criteria decision-making techniques for groundwater potentiality mapping in arid regions: A case study of Wadi Yiba, Kingdom of Saudi Arabia DOI
Nuaman Ejaz,

Aftab Haider Khan,

Muhammad Waqar Saleem

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101223 - 101223

Published: June 4, 2024

Language: Английский

Citations

7

Comprehensive framework on wind energy: A sustainable site selection under uncertainty and reliability, layout optimization and 7E analysis DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Applied Energy, Journal Year: 2024, Volume and Issue: 373, P. 123937 - 123937

Published: July 22, 2024

Language: Английский

Citations

7

A spatio-temporal decision-making model for solar, wind, and hybrid systems – A case study of Saudi Arabia DOI
Mohamed R. Elkadeem, Ali Younes, Jakub Jurasz

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 383, P. 125277 - 125277

Published: Jan. 17, 2025

Language: Английский

Citations

1

Spatial heterogeneity in deployment and upscaling of wind power in Swedish municipalities DOI Creative Commons

Yodefia Rahmad,

Fredrik Hedenus, Jessica Jewell

et al.

Renewable and Sustainable Energy Transition, Journal Year: 2025, Volume and Issue: unknown, P. 100104 - 100104

Published: Feb. 1, 2025

Language: Английский

Citations

1

Enhancing wind turbine site selection through a novel wake penalty criterion DOI
Ali Ersin Dinçer, Abdullah Demir, Kutay Yılmaz

et al.

Energy, Journal Year: 2023, Volume and Issue: 283, P. 129096 - 129096

Published: Sept. 19, 2023

Language: Английский

Citations

16