K
Kashif Imran
Researcher at University of the Sciences
Publications - 68
Citations - 774
Kashif Imran is an academic researcher from University of the Sciences. The author has contributed to research in topics: Computer science & Electric power system. The author has an hindex of 10, co-authored 57 publications receiving 390 citations. Previous affiliations of Kashif Imran include COMSATS Institute of Information Technology & University of Malaya.
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Journal ArticleDOI
Optimal Placement of Electric Vehicle Charging Stations in the Active Distribution Network
Muhammad Zulqarnain Zeb,Kashif Imran,Abraiz Khattak,Abdul Kashif Janjua,Anamitra Pal,Muhammad Nadeem,Jiangfeng Zhang,Sohail Khan +7 more
TL;DR: An optimized combination of all three types of EV chargers for efficiently managing the EV load while minimizing installation cost, losses, and distribution transformer loading is demonstrated.
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Determinants of bank credit in Pakistan: A supply side approach
Kashif Imran,Mohammed Nishat +1 more
TL;DR: In this article, the authors used the ARDL econometric approach using annual data from the period 1971 to 2010 for Pakistan to identify the factors which explain the bank credit to the businesses in varying financial environments and emerging global challenges.
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A technical comparison of wholesale electricity markets in North America and Europe
Kashif Imran,Ivana Kockar +1 more
TL;DR: In this article, the authors compared wholesale electricity markets in North America with each other and then those in the Europe among themselves, and the comparison of markets is divided into four parts that cover generation scheduling, transmission arrangement, bids processing and general aspects.
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Optimal placement, sizing and coordination of FACTS devices in transmission network using whale optimization algorithm
Muhammad Nadeem,Kashif Imran,Abraiz Khattak,Abasin Ulasyar,Anamitra Pal,Muhammad Zulqarnain Zeb,Atif Naveed Khan,Malhar Padhee +7 more
TL;DR: The whale optimization algorithm (WOA) is employed not only to find an ideal ratings for these devices but also the optimal coordination of SVC, TCSC and UPFC with the reactive power sources already present in the network.
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Energy Consumption and Economic Growth: A Case Study of Three SAARC Countries
TL;DR: In this paper, the causal relationship between energy consumption and economic growth was investigated in a multivariate framework that includes capital stock and labor input for the panel of three SAARC countries by using modern panel unit root technique, residual based panel cointegration and panel based error correction models.