Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mohammad Khoobani"'
Autor:
Shiladitya Acharya, Sabbir Ahmed, Bittab Biswas, Sukanta Bose, Susanta Chakraborty, Partha Chaudhuri, Amit Kumar Das, Gourab Das, Poonam B. Dhabai, Pijush Dutta, Gaurav Dwivedi, Adarsh Gaurav, Heba Ahmed Hassan, M. Shahidul Islam, Md. Mehedi Islam, Bhola Jha, M. Shamim Kaiser, Ramani Kannan, Nishant Raj Kapoor, Sujeet Kesharvani, Mohammad Khoobani, Aman Kumar, Anuj Kumar, Krishna Kumar, Narendra Kumar, Yatindra Kumar, Jia Liu, Siva Ramakrishna Madeti, Santanu Maity, Madhurima Majumder, Nabin Chandra Mandal, Anupam Nandi, Morteza Azimi Nasab, Kamaraj Nithyanandhan, Biplab Pal, Manoj Kumar Panda, Tamalika Panda, Md. Sazzadur Rahman, Sourav Sadhukhan, Hiranmay Saha, Gaurav Saini, R.P. Saini, Tina Samavat, Padmanabhan Sanjeevikumar, Sakshi Sarathe, Samir Settoul, Rachna Shah, Neeraj Tiwari, Mohammad Zand, Mohamed Zellagui, Yuekuan Zhou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76eba5099d5146326e1658985acd7325
https://doi.org/10.1016/b978-0-323-91228-0.09992-4
https://doi.org/10.1016/b978-0-323-91228-0.09992-4
Autor:
Padmanabhan Sanjeevikumar, Tina Samavat, Morteza Azimi Nasab, Mohammad Zand, Mohammad Khoobani
Publikováno v:
Padmanaban, S, Samavat, T, Nasab, M A, Zand, M & Khoobani, M 2022, Machine learning-based hybrid demand-side controller for renewable energy management . in K Kumar, R S Rao, O Kaiwartya, M S Kaiser & S Padmanaban (eds), Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies . Elsevier, Amsterdam, pp. 291-307 . https://doi.org/10.1016/B978-0-323-91228-0.00003-3
In power systems, maintaining the equivalency of supply and demand is the fundamental rule for a reliable power generator system to feed consumers consistently. This is the energy management (EM) desired goal, which has become an important field of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa7afb78f1b7844c2ff046fc289dfd6e
https://pure.au.dk/portal/da/publications/machine-learningbased-hybrid-demandside-controller-for-renewable-energy-management(d175b6ae-29e0-4bf8-9535-e05b9bb6aded).html
https://pure.au.dk/portal/da/publications/machine-learningbased-hybrid-demandside-controller-for-renewable-energy-management(d175b6ae-29e0-4bf8-9535-e05b9bb6aded).html
Publikováno v:
Smart Buildings Digitalization ISBN: 9781003201069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf92bf014ed743a5f4a5dd53a4d68dfe
https://doi.org/10.1201/9781003201069-2
https://doi.org/10.1201/9781003201069-2
Publikováno v:
2021 9th RSI International Conference on Robotics and Mechatronics (ICRoM).
Autor:
Mohammad Zand, Amir Hossein Kimiai, Morteza Azimi Nasab, Seyed Hossein Hosseinian, Alireza Jahangiri, Mohammad Khoobani
Publikováno v:
2021 12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC).
The induction motors are the major motive force of industries. The emerging power electronics-based technologies have stimulated power engineers to design and use variable speed drives for controlling induction motors. In this paper, a super twisting