Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Seyed Mahdi Miraftabzadeh"'
Autor:
Cristian Giovanni Colombo, Fabio Borghetti, Michela Longo, Wahiba Yaici, Seyed Mahdi Miraftabzadeh
Publikováno v:
Cleaner Engineering and Technology, Vol 21, Iss , Pp 100782- (2024)
Transportation is one of the sectors with the highest CO2 emissions, accounting for 23% globally and significantly contributing to climate change. To address this challenge, the authorities have proposed new stringent policies that lead to decarboniz
Externí odkaz:
https://doaj.org/article/940dd810551247d98588153d51ec89dc
Autor:
Seyed Mahdi Miraftabzadeh, Alessandro Saldarini, Luca Cattaneo, Sebastiano El Ajami, Michela Longo, Federica Foiadelli
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25778- (2024)
Climate disruptions have prompted institutions to invest in zero-emissions technologies, in recent years. As a result, the transportation sector has witnessed a shift from internal combustion engines to electric. Several public transport companies ha
Externí odkaz:
https://doaj.org/article/29c852e9eb8547f8b2442cae04454d38
Publikováno v:
Vehicles, Vol 5, Iss 3, Pp 761-779 (2023)
The Electric Vehicle (EV) market has been growing exponentially in recent years, which is why the distribution network of public charging stations will be subject to expansion and upgrading. In order to improve the public charging infrastructure, thi
Externí odkaz:
https://doaj.org/article/c92daf566c494b889f4ff2a958a54ad5
Publikováno v:
Forecasting, Vol 5, Iss 1, Pp 213-228 (2023)
Climate change and global warming drive many governments and scientists to investigate new renewable and green energy sources. Special attention is on solar panel technology, since solar energy is considered one of the primary renewable sources and s
Externí odkaz:
https://doaj.org/article/608bc88a014841f49004bdb4aaeeb881
Publikováno v:
IEEE Access, Vol 11, Pp 119596-119633 (2023)
As power systems evolve by integrating renewable energy sources, distributed generation, and electric vehicles, the complexity of managing these systems increases. With the increase in data accessibility and advancements in computational capabilities
Externí odkaz:
https://doaj.org/article/8f4be34c681849ba90935261cc3665bf
Publikováno v:
IEEE Access, Vol 11, Pp 69227-69240 (2023)
The unpredictable nature of photovoltaic solar power generation, caused by changing weather conditions, creates challenges for grid operators as they work to balance supply and demand. As solar power continues to become a larger part of the energy mi
Externí odkaz:
https://doaj.org/article/28a324d65f9740ac8695deaf61dbe449
Publikováno v:
IEEE Access, Vol 11, Pp 55644-55656 (2023)
In this paper, a quantitative model is implemented with the main goal of building a decision support tool to assess the feasibility of applying a Vehicle-To-Grid (V2G) service by a company operating a fleet of electric buses. The proposed model can c
Externí odkaz:
https://doaj.org/article/60e06c447b8d44b5a3d00010d4607529
Autor:
Younes Mohammadi, Aleksey Palstev, Boštjan Polajžer, Seyed Mahdi Miraftabzadeh, Davood Khodadad
Publikováno v:
Energies, Vol 16, Iss 14, p 5575 (2023)
This paper presents a comprehensive study of winter temperatures in Norway and northern Sweden, covering a period of 50 to 70 years. The analysis utilizes Singular Spectrum Analysis (SSA) to investigate temperature trends at six selected locations. T
Externí odkaz:
https://doaj.org/article/2ab80d41deab4f1281e493aaad96ed22
Publikováno v:
Energies, Vol 15, Iss 21, p 8115 (2022)
The continuous technical improvements involving electric motors, battery packs, and general powertrain equipment make it strictly necessary to predict or evaluate the energy consumption of electric vehicles (EVs) with reasonable accuracy. The signifi
Externí odkaz:
https://doaj.org/article/39b1adcb73754224a74e0b3d131f18c4
Publikováno v:
Energies, Vol 14, Iss 16, p 4776 (2021)
The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observabili
Externí odkaz:
https://doaj.org/article/c5db70a8e4744de59400996611a12641