Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ladan Malehmirchegini"'
Autor:
Ladan Malehmirchegini, Hooman Farzaneh
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 11910-11926 (2022)
This study aims to develop a mathematical modeling approach to maximize the welfare of the price-responsive customers (CUs) in a wholesale electricity market in Tokyo, Japan. The contributions made by this paper in the quest to determine the role of
Externí odkaz:
https://doaj.org/article/a75a5d9d74084fe2b4b3a3fa9fa65905
Publikováno v:
iScience, Vol 26, Iss 7, Pp 106978- (2023)
Summary: Real-time pricing demand response programs (RTP-DRPs) are practical measures that ensure the end user’s profitability from using electricity by adjusting the supply and demand equilibrium without activating costly solutions. This study exp
Externí odkaz:
https://doaj.org/article/cbaddc958aaa41c9bb920c2fbe774f33
Autor:
Hooman Farzaneh, Ladan Malehmirchegini, Adrian Bejan, Taofeek Afolabi, Alphonce Mulumba, Precious P. Daka
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 763 (2021)
The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban energy efficiency. By using AI technologies in smart buildings,
Externí odkaz:
https://doaj.org/article/b07e5e900eb949c58aac5e52f82790b2
Autor:
Ladan Malehmirchegini, Hooman Farzaneh
Publikováno v:
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES). 7:224-231
In the traditional electricity market, the safety of power systems due to increasing power demand, especially in peak -valley, is seriously affected. In recent years, the smart electricity market's development, and the implementation of demand respon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08382d9dbdff052b3e753808e5a38bcd
http://hdl.handle.net/2324/4738592
http://hdl.handle.net/2324/4738592
Autor:
Ladan Malehmirchegini, Hooman Farzaneh
Publikováno v:
Sustainable Energy, Grids and Networks. 34:101044
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0bacaa827759242bf3dfedbbf8d5597
https://doi.org/10.1016/j.segan.2023.101044
https://doi.org/10.1016/j.segan.2023.101044
Rapid advancements in science and technology have become a driving force behind robotics and automation technology developments in agriculture. Digital agriculture has opened ways of improving efficiency and reducing energy inputs by utilizing inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3e29793b0eff2b68c0651acabe7717d
https://doi.org/10.1016/b978-0-12-819610-6.00007-7
https://doi.org/10.1016/b978-0-12-819610-6.00007-7
Autor:
Mohammadreza Aghaei, Hamsa Ahmed, Francesco Calise, Francesco Liberato Cappiello, Juan M. Castañón, Shauhrat S. Chopra, Hossein Ebadi, Aref Eskandari, Patrice Geoffron, Barat Ghobadian, Shiva Gorjian, Faezeh Ketabchi, Saber Khanmohammadi, Anil Kumar, Nallapaneni Manoj Kumar, Uzoma Edward Madukanya, Ladan MalehMirchegini, Abdur Rehman Mazhar, Saeid Minaei, Aline Kirsten Vidal de Oliveira, Pramod Rajput, Geetam Richhariya, null Samsher, Mahdi Shakouri, Redmond R. Shamshiri, Ashish Shukla, Renu Singh, Max Trommsdorff, Shima Vaezi, Maria Vicidomini, Hyun Jin Julie Yu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acc4ca977fb6b1705459fc821f1a72d6
https://doi.org/10.1016/b978-0-12-819610-6.09996-8
https://doi.org/10.1016/b978-0-12-819610-6.09996-8
Autor:
Precious P. Daka, Hooman Farzaneh, Taofeek Afolabi, Adrian Bejan, Ladan Malehmirchegini, Alphonce Mulumba
Publikováno v:
Applied Sciences, Vol 11, Iss 763, p 763 (2021)
The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban energy efficiency. By using AI technologies in smart buildings,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e468cb05e2e6b01ae095f95bc66441e7
https://doi.org/10.3390/app11020763
https://doi.org/10.3390/app11020763