M
Miadreza Shafie-khah
Researcher at University of Vaasa
Publications - 510
Citations - 13782
Miadreza Shafie-khah is an academic researcher from University of Vaasa. The author has contributed to research in topics: Demand response & Electric power system. The author has an hindex of 47, co-authored 450 publications receiving 8086 citations. Previous affiliations of Miadreza Shafie-khah include Tarbiat Modares University & University of Porto.
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Journal ArticleDOI
A Review of Smart Cities Based on the Internet of Things Concept
Saber Talari,Miadreza Shafie-khah,Pierluigi Siano,Vincenzo Loia,Aurelio Tommasetti,Joao P. S. Catalao +5 more
TL;DR: Some practical experiences all across the world and the key barriers to its implementation are thoroughly expressed and the potential application of smart cities with respect to technology development in the future provides another valuable discussion in this paper.
Proceedings ArticleDOI
Iot-based smart cities: A survey
Hamidreza Arasteh,Vahid Hosseinnezhad,Vincenzo Loia,Aurelio Tommasetti,Orlando Troisi,Miadreza Shafie-khah,Pierluigi Siano +6 more
TL;DR: A comprehensive review on the concepts of smart cities and on their motivations and applications is provided, as well as the main components and features of a smart city.
Journal ArticleDOI
Price forecasting of day-ahead electricity markets using a hybrid forecast method
TL;DR: A novel hybrid method to forecast day-ahead electricity price is proposed based on wavelet transform, Auto-Regressive Integrated Moving Average (ARIMA) models and Radial Basis Function Neural Networks (RBFN).
Journal ArticleDOI
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents
Miadreza Shafie-khah,Ehsan Heydarian-Forushani,Gerardo J. Osorio,Fabio A. S. Gil,Jamshid Aghaei,Mostafa Barani,Joao P. S. Catalao +6 more
TL;DR: A model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs), and indicates that the PEV parking lots can benefit from the selective participation in DRPs.
Journal ArticleDOI
Dynamic Price Vector Formation Model-Based Automatic Demand Response Strategy for PV-Assisted EV Charging Stations
Qifang Chen,Fei Wang,Bri-Mathias Hodge,Jianhua Zhang,Zhigang Li,Miadreza Shafie-khah,Joao P. S. Catalao +6 more
TL;DR: A real-time price (RTP)-based automatic demand response (ADR) strategy for PV-assisted electric vehicle (EV) Charging Station (PVCS) without vehicle to grid is proposed, to capture the advantages of both global and real- time optimization.