Electric Power Consumption Forecasting Models and Spatio-Temporal Dynamic Analysis of China’s Mega-City Agglomerations Based on Low-Light Remote Sensing Imagery Incorporating Social Factors

Analyzing the electric power consumption (EPC) patterns of China’s mega urban agglomerations is crucial for promoting sustainable development both domestically and globally. Utilizing 2017–2021 NPP/VIIRS low-light remote sensing imagery to extract total nighttime light data, this study proposed an E...

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Detaylı Bibliyografya

Asıl Yazarlar:	Cuiting Li, Dongmei Yan, Shuo Chen, Jun Yan, Wanrong Wu, Xiaowei Wang
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2025-02-01
Seri Bilgileri:	Remote Sensing
Konular:	Electric Power Consumption (EPC) Nighttime light (NTL) NPP/VIIRS Mega urban agglomerations spatio-temporal dynamic analysis k-means clustering
Online Erişim:	https://www.mdpi.com/2072-4292/17/5/865
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