2 citations · 4 across the 5 of their papers we have counts for
6 papers
Modeling Electrical Daily Demand in Presence of PHEVs in Smart Grids with Supervised Learning
Marco Pellegrini, Farshad Rassaei
Replacing a portion of current light duty vehicles (LDV) with plug-in hybrid electric vehicles (PHEVs) offers the possibility to reduce the dependence on petroleum fuels together w…
Decarbonized Demand Response for Residential Plug-in Electric Vehicles in Smart Grids
Farshad Rassaei, Wee-Seng Soh, Kee-Chaing Chua
Recently, in Paris, the world has reached an agreement whereby many countries commit to bolster their efforts about reducing adverse climate changes. Hence, we can expect that deca…
Market-based Demand Response via Residential Plug-in Electric Vehicles in Smart Grids
Farshad Rassaei, Wee-Seng Soh, Kee-Chaing Chua
Flexibility in power demand, diverse usage patterns and storage capability of plug-in electric vehicles (PEVs) grow the elasticity of residential electricity demand remarkably. Thi…
Joint Shaping and Altering the Demand Profile by Residential Plug-in Electric Vehicles for Forward and Spot Markets in Smart Grids
Farshad Rassaei, Wee-Seng Soh, Kee-Chaing Chua
Plug-in electric vehicles (PEVs) can significantly increase the elasticity of residential electricity demand. This elasticity can be employed to shape the daily aggregated electric…
A Statistical Modelling and Analysis of Residential Electric Vehicles' Charging Demand in Smart Grids
Farshad Rassaei, Wee-Seng Soh, Kee-Chaing Chua
Electric vehicles (EVs) add significant load on the power grid as they become widespread. The characteristics of this extra load follow the patterns of people's driving behaviours.…
A Statistical Modelling and Analysis of PHEVs' Power Demand in Smart Grids
Farshad Rassaei, Wee-Seng Soh, Kee-Chaing Chua
Electric vehicles (EVs) and particularly plug-in hybrid electric vehicles (PHEVs) are foreseen to become popular in the near future. Not only are they much more environmentally fri…