A deep learning approach for fairness-based time of use tariff design
Yang Han, Jacqueline C. K. Lam, Victor O. K. Li, David Newbery, Peiyang Guo, Kelvin Chan
| Year of publication: |
2024
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|---|---|
| Authors: | Han, Yang ; Lam, Jacqueline C. K. ; Li, Victor O. K. ; Newbery, David M. G. ; Guo, Peiyang ; Chan, Kelvin Chun-man |
| Published in: |
Energy policy : the international journal of the political, economic, planning, environmental and social aspects of energy. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6777, ZDB-ID 2000898-3. - Vol. 192.2024, Art.-No. 114230, p. 1-12
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| Subject: | Tariff design | Time of use (TOU) | Fairness of distribution | Fairness of transition | Deep learning | Counterfactual estimation | Price responsiveness | Income segmentation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.enpol.2024.114230 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015141723