Universität zu Köln

Naseri, Nastaran ORCID: 0000-0002-5239-1280, Talari, Saber ORCID: 0000-0003-1368-781X, Ketter, Wolfgang ORCID: 0000-0001-9008-142X and Collins, John ORCID: 0000-0002-7881-4595 (2023). Designing Retail Electricity Tariffs Using Reinforcement Learning. In: Energy Sustainability through Retail Electricity Markets, pp. 57-73. Springer International Publishing. ISBN 9783031397073

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Item Type:	Book Section, Proceedings Item or annotation in a legal commentary
Creators:	Creators Email ORCID ORCID Put Code Naseri, Nastaran UNSPECIFIED orcid.org/0000-0002-5239-1280 UNSPECIFIED Talari, Saber UNSPECIFIED orcid.org/0000-0003-1368-781X UNSPECIFIED Ketter, Wolfgang UNSPECIFIED orcid.org/0000-0001-9008-142X UNSPECIFIED Collins, John UNSPECIFIED orcid.org/0000-0002-7881-4595 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-730082
DOI:	10.1007/978-3-031-39707-3_4
Title of Book:	Energy Sustainability through Retail Electricity Markets
Page Range:	pp. 57-73
Number of Pages:	235
Date:	2023
Publisher:	Springer International Publishing
ISSN:	2662-9402
ISBN:	9783031397073
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Center of Excellence C-SEB Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects:	Economics
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/73008