Zobrazeno 1 - 10
of 17
pro vyhledávání: '"S. Hr. Aghay Kaboli"'
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
Publikováno v:
Energies, Vol 12, Iss 19, p 3651 (2019)
The electromagnetic interference (EMI) generated by high voltage power systems can cause a serious problem for nearby electrically conductive structures, such as railroads, communication lines, or pipelines, that would place a system’s integrity an
Externí odkaz:
https://doaj.org/article/cd1f94f0399a44ecb9f3c76007b14487
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::6858974a139b981567e29871da3c6ca6
https://ieeexplore.ieee.org/document/8735862/
https://ieeexplore.ieee.org/document/8735862/
Autor:
S. Hr. Aghay Kaboli, Shameem Ahmad, Alireza Pourdaryaei, Hazlie Mokhlis, S. P. Ang, Hazlee Azil Illias
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::3054222bedb7f22db4954f94c85d0e42
https://doi.org/10.1109/access.2019.2938842
https://doi.org/10.1109/access.2019.2938842
Autor:
S. Sina Sebtahmadi, S. Hr. Aghay Kaboli, Md. Didarul Islam, Saad Mekhilef, Hanieh Borhan Azad
Publikováno v:
IEEE Transactions on Power Electronics. 33:1666-1681
A rotational d–q current control scheme is prepared with the particle swarm optimization-PI controller, which drives an induction motor through an ultra-sparse Z -source matrix converter. To minimize the total size of the system, the lowest feasibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae01951e93ec2e4b44b566e3408b1bba
https://doi.org/10.1109/tpel.2017.2679118
https://doi.org/10.1109/tpel.2017.2679118
Publikováno v:
Energy. 126:144-164
This study formulates the effects of two different historical data types on electrical energy consumption of ASEAN-5 counties. On this basis, optimized GEP (gene expression programming) is applied to precisely formulate the relationships between hist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7690a84c4fe7665f79f7d95c794afd29
https://doi.org/10.1016/j.energy.2017.03.009
https://doi.org/10.1016/j.energy.2017.03.009
Publikováno v:
Journal of Computational Science. 19:31-42
This paper proposes rain-fall optimization algorithm (RFO), a new nature-inspired algorithm based on behavior of raindrops, for solving of real-valued numerical optimization problems. RFO has been developed from a motivation to find a simpler and mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c9a16258ccacf21a6f0d5a8a616701f
https://doi.org/10.1016/j.jocs.2016.12.010
https://doi.org/10.1016/j.jocs.2016.12.010
Publikováno v:
Energy. 116:637-649
This paper presents backtracking search algorithm (BSA) for solving economic dispatch (ED) problems with considering valve-point loading effects, prohibited operating zones, and multiple fuel options. The proposed method is an evolutionary technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d26be52d13f23e2ec6ecaf6a941cdaae
https://doi.org/10.1016/j.energy.2016.09.140
https://doi.org/10.1016/j.energy.2016.09.140
Publikováno v:
Energy. 115:857-871
This study mathematically formulates the effects of socio-economic indicators (gross domestic production, population, stock index, export, and import) on Iran's electric energy consumption. The path-coefficient analysis is implemented on linear, quad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a72d55d1faf2978320df1c1d5e7831b1
https://doi.org/10.1016/j.energy.2016.09.015
https://doi.org/10.1016/j.energy.2016.09.015