How large the direct rebound effect for residential electricity consumption when the artificial neural network takes on the role? : a Taiwan case study of household electricity consumption

Adha, Rishan; Hong, Cheng-Yih

Please use this identifier to cite or link to this item: https://hdl.handle.net/11159/7718

Title:

How large the direct rebound effect for residential electricity consumption when the artificial neural network takes on the role? : a Taiwan case study of household electricity consumption

Journal:

International Journal of Energy Economics and Policy

Authors:

Adha, Rishan
Hong, Cheng-Yih

e-ISSN:

2146-4553

Document Type:

Article

Year of Publication:

2021

Open Content License:

Original URL:

https://www.econjournals.com/index.php/ijeep/article/download/9834/5827

Persistent Identifier of the first edition:

doi:10.32479/ijeep.9834

Language:

English (eng)

Citation:

Adha, Rishan/Hong, Cheng-Yih (2021). How large the direct rebound effect for residential electricity consumption when the artificial neural network takes on the role? : a Taiwan case study of household electricity consumption. In: International Journal of Energy Economics and Policy 11 (3), S. 354 - 364.
https://www.econjournals.com/index.php/ijeep/article/download/9834/5827.
doi:10.32479/ijeep.9834.

Appears in Collections:

International journal of energy economics and policy (IJEEP)

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