TY - JOUR
T1 - Spatial electricity market data for the power system of Kazakhstan
AU - Assembayeva, Makpal
AU - Egerer, Jonas
AU - Mendelevitch, Roman
AU - Zhakiyev, Nurkhat
N1 - Funding Information:
We acknowledge support by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
Funding Information:
We acknowledge support by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin .
Publisher Copyright:
© 2019 The Authors
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - The data presented in this article are related to the research article “A spatial electricity market model for the power system: The Kazakhstan case study” (M. Assembayeva et al. 2018). This data article presents information on network topology and characteristics, demand variation and distribution, technical and economic parameters for conventional and renewable generation, as well as availability time series, and imports and exports. The dataset is made publically available to allow for more and independent analysis of this emerging energy market.
AB - The data presented in this article are related to the research article “A spatial electricity market model for the power system: The Kazakhstan case study” (M. Assembayeva et al. 2018). This data article presents information on network topology and characteristics, demand variation and distribution, technical and economic parameters for conventional and renewable generation, as well as availability time series, and imports and exports. The dataset is made publically available to allow for more and independent analysis of this emerging energy market.
UR - http://www.scopus.com/inward/record.url?scp=85062690474&partnerID=8YFLogxK
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U2 - 10.1016/j.dib.2019.103781
DO - 10.1016/j.dib.2019.103781
M3 - Article
AN - SCOPUS:85062690474
VL - 23
JO - Data in Brief
JF - Data in Brief
SN - 2352-3409
M1 - 103781
ER -