Data-driven prediction and evaluation on future impact of energy transition policies in smart regions
被引:11
作者:
Yang, Chunmeng
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Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
Yang, Chunmeng
[1
]
Bu, Siqi
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机构:
Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
Hong Kong Polytech Univ, Policy Res Ctr Innovat & Technol, Hong Kong, Peoples R China
Hong Kong Polytech Univ, Res Inst Smart Energy, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
Bu, Siqi
[1
,2
,3
]
Fan, Yi
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机构:
Natl Univ Singapore, Dept Real Estate, Singapore, SingaporeHong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
Fan, Yi
[4
]
Wan, Wayne Xinwei
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机构:
Monash Univ, Dept Banking & Finance, Melbourne, AustraliaHong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
Wan, Wayne Xinwei
[5
]
Wang, Ruoheng
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机构:
Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
Wang, Ruoheng
[1
]
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机构:
Foley, Aoife
[6
]
机构:
[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Policy Res Ctr Innovat & Technol, Hong Kong, Peoples R China
[3] Hong Kong Polytech Univ, Res Inst Smart Energy, Hong Kong, Peoples R China
[4] Natl Univ Singapore, Dept Real Estate, Singapore, Singapore
[5] Monash Univ, Dept Banking & Finance, Melbourne, Australia
To meet widely recognised carbon neutrality targets, over the last decade metropolitan regions around the world have implemented policies to promote the generation and use of sustainable energy. Nevertheless, there is an availability gap in formulating and evaluating these policies in a timely manner, since sustainable energy capacity and generation are dynamically determined by various factors along dimensions based on local economic prosperity and societal green ambitions. We develop a novel data-driven platform to predict and evaluate energy transition policies by applying an artificial neural network and a technology diffusion model. Using Singapore, London, and California as case studies of metropolitan regions at distinctive stages of energy transition, we show that in addition to forecasting renewable energy generation and capacity, the platform is particularly powerful in formulating future policy scenarios. We recommend global application of the proposed methodology to future sustainable energy transition in smart regions.
机构:
Univ Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, MalaysiaUniv Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Abdul-Manan, Arnir F. N.
Baharuddin, Azizan
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机构:
Univ Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Univ Malaya, Ctr Civilisat Dialogue, Kuala Lumpur 50603, MalaysiaUniv Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Baharuddin, Azizan
Chang, Lee Wei
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机构:
Univ Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Univ Malaya, Ctr Civilisat Dialogue, Kuala Lumpur 50603, MalaysiaUniv Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
机构:
Univ Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, MalaysiaUniv Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Abdul-Manan, Arnir F. N.
Baharuddin, Azizan
论文数: 0引用数: 0
h-index: 0
机构:
Univ Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Univ Malaya, Ctr Civilisat Dialogue, Kuala Lumpur 50603, MalaysiaUniv Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Baharuddin, Azizan
Chang, Lee Wei
论文数: 0引用数: 0
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机构:
Univ Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia
Univ Malaya, Ctr Civilisat Dialogue, Kuala Lumpur 50603, MalaysiaUniv Malaya, Fac Sci, Dept Sci & Technol Studies, Kuala Lumpur 50603, Malaysia