doctoral thesis
Stochastic model predictive control of a set of electric vehicle charging stations for demand response service provision
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:872422

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Kovačević, M. (2023). Stochastic model predictive control of a set of electric vehicle charging stations for demand response service provision (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:872422

Kovačević, Marko. "Stochastic model predictive control of a set of electric vehicle charging stations for demand response service provision." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:872422

Kovačević, Marko. "Stochastic model predictive control of a set of electric vehicle charging stations for demand response service provision." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:872422

Kovačević, M. (2023). 'Stochastic model predictive control of a set of electric vehicle charging stations for demand response service provision', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:872422

Kovačević M. Stochastic model predictive control of a set of electric vehicle charging stations for demand response service provision [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 May 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:872422

M. Kovačević, "Stochastic model predictive control of a set of electric vehicle charging stations for demand response service provision", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:872422

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