Milad Kazemi

About Milad Kazemi

Milad Kazemi, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Electricity Markets, Transactive Energy Management, PEVs, Solar Powered Charging Stations, Networked.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assessing battery degradation as a key performance indicator for multi-objective optimization of multi-carrier energy systems

Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System

Strategic Behaviour Study of Flexible Generator in Hybrid DSO and P2P Markets-A Three-Phase Unbalanced Distribution Network Case

Robust design of off-grid solar-powered charging station for hydrogen and electric vehicles via robust optimization approach

Risk-involved stochastic scheduling of plug-in electric vehicles aggregator in day-ahead and reserve markets using downside risk constraints method

Milad Kazemi Information

University

Position

Faculty of Electrical Engineering Department of Energy

Citations(all)

107

Citations(since 2020)

107

Cited By

31

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Milad Kazemi Skills & Research Interests

Electricity Markets

Transactive Energy Management

PEVs

Solar Powered Charging Stations

Networked

Top articles of Milad Kazemi

Assessing battery degradation as a key performance indicator for multi-objective optimization of multi-carrier energy systems

Applied Energy

2024/5/1

Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System

2023/9/4

Milad Kazemi
Milad Kazemi

H-Index: 2

Christina Papadimitriou
Christina Papadimitriou

H-Index: 7

Strategic Behaviour Study of Flexible Generator in Hybrid DSO and P2P Markets-A Three-Phase Unbalanced Distribution Network Case

2021

Milad Kazemi
Milad Kazemi

H-Index: 2

Robust design of off-grid solar-powered charging station for hydrogen and electric vehicles via robust optimization approach

International Journal of Hydrogen Energy

2020/7/31

Risk-involved stochastic scheduling of plug-in electric vehicles aggregator in day-ahead and reserve markets using downside risk constraints method

Sustainable Cities and Society

2020/4

See List of Professors in Milad Kazemi University(Politecnico di Milano)

Co-Authors

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