Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Alireza Pourdaryaei"'
Autor:
Alireza Pourdaryaei, Mohammad Mohammadi, Munir Azam Muhammad, Junaid Bin Fakhrul Islam, Mazaher Karimi, Amidaddin Shahriari
Publikováno v:
IEEE Access, Vol 12, Pp 43674-43690 (2024)
It is widely acknowledged that electricity price forecasting become an essential factor in operational activities, planning, and scheduling for the participant in the price-setting market, nowadays. Nevertheless, electricity price became a complex si
Externí odkaz:
https://doaj.org/article/d05b39d0f992457290b960e9abdcfd5a
Autor:
Alireza Pourdaryaei, Mohammad Mohammadi, Mazaher Karimi, Hazlie Mokhlis, Hazlee A. Illias, Seyed Hamidreza Aghay Kaboli, Shameem Ahmad
Publikováno v:
Energies, Vol 17, Iss 10, p 2266 (2024)
There was an error in the original publication [...]
Externí odkaz:
https://doaj.org/article/c5926d703b2e44a1801bc3b442cdf8e0
Autor:
Suzana Pil Ramli, Meysam Pashaei, Mazaher Karimi, Kimmo Kauhaniemi, Alireza Pourdaryaei, Mehdi Daryaei, Masoud Zarei
Publikováno v:
IEEE Access, Vol 10, Pp 134277-134291 (2022)
In the past decade, there has been unprecedented growth in distributed generation (DG) to cater to more load demand in the power grid. However, as the volume of these resources in the distribution network (DN) continues to increase, new challenges in
Externí odkaz:
https://doaj.org/article/fc94caf0124940749bc30e1fb899fde2
Publikováno v:
IEEE Access, Vol 10, Pp 121508-121519 (2022)
Given the current trend of reviving the power system, which is considered by competitive markets, the privatization of the power system is forcing them to develop the necessary decision-making policies from a technical and economic point of view to i
Externí odkaz:
https://doaj.org/article/5a87895dd5174ba1a9543b9ab292dd1b
Autor:
Shameem Ahmad, Umme Kulsum Jhuma, Mazaher Karimi, Alireza Pourdaryaei, Saad Mekhilef, Hazlie Mokhlis, Kimmo Kauhaniemi
Publikováno v:
IEEE Access, Vol 10, Pp 109187-109202 (2022)
In this paper, a direct power control (DPC) approach is proposed for grid-tied AC MG’s photovoltaic (PV) voltage source inverter (VSI) to regulate directly active and reactive powers by modulating microgrid’s (MG) point of common coupling (PCC) v
Externí odkaz:
https://doaj.org/article/8d55735a89eb4e07b4ad8fad09038af1
Autor:
Alireza Pourdaryaei, Amidaddin Shahriari, Mohammad Mohammadi, Mohammad Reza Aghamohammadi, Mazaher Karimi, Kimmo Kauhaniemi
Publikováno v:
Energies, Vol 16, Iss 5, p 2508 (2023)
Load flow solutions refer to the steady-state stability of power systems and have a crucial role in the design and planning of slow-changing elements; e.g., in online tab changing actions, automatic generation control, over-excitation limiters and th
Externí odkaz:
https://doaj.org/article/89dae862bca146888930bdc269644eb6
Autor:
Muhammad Usama, Mahmoud Moghavvemi, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Haroon Farooq, Alireza Pourdaryaei
Publikováno v:
IEEE Access, Vol 9, Pp 34921-34937 (2021)
Technology advancement for renewable energy resources and its integration to the distribution network (DN) has garnered substantial interest in the last few decades. Integrating such resources has proven to reduce power losses and improve the reliabi
Externí odkaz:
https://doaj.org/article/e164c98166f9406ba615ab19df12c691
Autor:
Alireza Pourdaryaei, Hazlie Mokhlis, Hazlee Azil Illias, S. HR. Aghay Kaboli, Shameem Ahmad, Swee Peng Ang
Publikováno v:
IEEE Access, Vol 7, Pp 125369-125386 (2019)
Smart grid has evolved into a viable platform for participants of electricity market to effectively regulate their bidding strategies based on demand-side management (DSM) models ascribed to its immense technological advancements in recent years. Rel
Externí odkaz:
https://doaj.org/article/ceea807dec4c4b04b475b8c8414c83ab
Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach
Publikováno v:
IEEE Access, Vol 7, Pp 77674-77691 (2019)
In this paper, a hybrid electricity price forecasting method which is composed of two-stage feature selection method and optimized adaptive neuro-fuzzy inference system (ANFIS) technique as a forecasting engine is proposed to accurately forecast elec
Externí odkaz:
https://doaj.org/article/01fefdae9b5245a6b47bf338dc8f6db4
Autor:
Alireza Pourdaryaei, Mohammad Mohammadi, Mazaher Karimi, Hazlie Mokhlis, Hazlee A. Illias, Seyed Hamidreza Aghay Kaboli, Shameem Ahmad
Publikováno v:
Energies, Vol 14, Iss 19, p 6104 (2021)
The development of artificial intelligence (AI) based techniques for electricity price forecasting (EPF) provides essential information to electricity market participants and managers because of its greater handling capability of complex input and ou
Externí odkaz:
https://doaj.org/article/91767978bba44d76931f86a4a7441ed4