Modeling the impacts of climate change on monthly commercial sector electricity consumption: A case of Suzhou, China

Abstract Multiple regression equations are the most common method for modeling the influences of climate variables on electricity demand. However, the multiple regression equations based on time series data often suffer from the problem of serial correlation or heteroskedasticity, resulting in biase...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Energy Science & Engineering
المؤلفون الرئيسيون:	Zhenyu Su, Zhifan Zhou
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Wiley 2023-04-01
الموضوعات:	climate change cooling degree days electricity heating degree days regression
الوصول للمادة أونلاين:	https://doi.org/10.1002/ese3.1333

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