Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Zulfiqar Ali Memon"'
Publikováno v:
IEEE Access, Vol 12, Pp 35700-35715 (2024)
Energy is of paramount importance for the world, and it is a fundamental driver of economic growth and development. Industries, businesses, and households rely on energy for even a small task. Due to its high demand, a significant portion of the glob
Externí odkaz:
https://doaj.org/article/ef51f8f1f83448e4902ac68913f53a9f
Publikováno v:
Energies, Vol 17, Iss 17, p 4373 (2024)
A multi-objective energy management and scheduling strategy for a microgrid comprising wind turbines, solar cells, fuel cells, microturbines, batteries, and loads is proposed in this work. The plan uses a fuzzy decision-making technique to reduce pol
Externí odkaz:
https://doaj.org/article/dfa77ddbe11043f8a82f1d9c30bed754
Publikováno v:
Algorithms, Vol 17, Iss 8, p 332 (2024)
Time series analysis is pivotal for business and financial decision making, especially with the increasing integration of the Internet of Things (IoT). However, leveraging time series data for forecasting requires extensive preprocessing to address c
Externí odkaz:
https://doaj.org/article/6a432d647fdc4fe781d28d9874d51f01
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract This paper proposes a new intelligent algorithm named improved transient search optimization algorithm (ITSOA) integrated with multiobjective optimization for determining the optimal configuration of an unbalanced distribution network. The c
Externí odkaz:
https://doaj.org/article/6a78f973b034496596a9dae9c9fd40c1
Publikováno v:
Sensors, Vol 23, Iss 19, p 8106 (2023)
The primary goal of this study is to develop a deep neural network for action recognition that enhances accuracy and minimizes computational costs. In this regard, we propose a modified EMO-MoviNet-A2* architecture that integrates Evolving Normalizat
Externí odkaz:
https://doaj.org/article/679c612954e6479cb2f5980e1a7ec0b4
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 9997 (2023)
Solar photovoltaic systems are becoming increasingly popular due to their outstanding environmental, economic, and technical characteristics. To simulate, manage, and control photovoltaic (PV) systems, the primary challenge is identifying unknown par
Externí odkaz:
https://doaj.org/article/575b14d4146841608aced5966b16645a
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
In this paper, maximum power point tracking (MPPT) of a photovoltaic (PV) system is performed under partial shading conditions (PSCs) using a hill climbing (HC)–artificial electric field algorithm (AEFA) considering a DC/DC buck converter. The AEFA
Externí odkaz:
https://doaj.org/article/68af0f92469a4de9a8b4c12d8fb0ca55
Autor:
Muhammad Husnain Ashfaq, Zulfiqar Ali Memon, Muhammad Akmal Chaudhary, Muhammad Talha, Jeyraj Selvaraj, Nasrudin Abd Rahim, Muhammad Majid Hussain
Publikováno v:
Energies, Vol 15, Iss 23, p 8850 (2022)
Due to the high power density, inherent zero-voltage-switching (ZVS), and high voltage-conversation ratio, the current source-based isolated dual-active-bridge DAB–DC/DC converters are extensively used for charging EVs under constant-current mode.
Externí odkaz:
https://doaj.org/article/e880ce31129a485eb58a257f7d720354
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 7959 (2022)
A key component of the design and operation of power transmission systems is the optimal power flow (OPF) problem. To solve this problem, several optimization algorithms have been developed. The primary objectives of the program are to minimize fuel
Externí odkaz:
https://doaj.org/article/a5301a974b6f40a0bea242cbe8e495c6
Publikováno v:
Journal of Economics Finance and Administrative Science, Vol 23, Iss 46, Pp 266-288 (2018)
Purpose - This study aims to investigate the market timing strategy in different market conditions (i.e. up, down, normal and in-financial-crisis situation) in the emerging market of Pakistan over the period 1995 to 2015. Furthermore, this study test
Externí odkaz:
https://doaj.org/article/a39e9294250542ed850c59f60599737b