N
Nadeem Javaid
Researcher at COMSATS Institute of Information Technology
Publications - 978
Citations - 18955
Nadeem Javaid is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Smart grid & Routing protocol. The author has an hindex of 53, co-authored 940 publications receiving 13697 citations. Previous affiliations of Nadeem Javaid include Dalhousie University & University of Paris-Est.
Papers
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Proceedings ArticleDOI
TRP: Tunneling Routing Protocol for WSNs
TL;DR: This work implements sink mobility in Clusterless Stable Election Protocol (CL-SEP) and proposed Tunnel Routing Protocol (TRP) for WSNs, which is two level heterogeneous, and shows that the proposed protocol outperforms the conventional SEP in stability period, network lifetime and throughput.
Proceedings ArticleDOI
An Optimized Linear-Kernel Support Vector Machine for Electricity Load and Price Forecasting in Smart Grids
TL;DR: A framework has been proposed, in which feature selection has been done by Random Forest technique in both datasets of load and price in which RF, Support Vector Machine and SVM along with an enhanced linear kernel and tuned parameters are used for prediction.
Book ChapterDOI
Efficient Energy Management Using Fog Computing
Muhammad KaleemUllah Khan,Nadeem Javaid,Shakeeb Murtaza,Maheen Zahid,Wajahat Ali Gilani,Muhammad Junaid Ali +5 more
TL;DR: A cloud and fog based energy management system is proposed for the efficient energy management of Smart Grid to manage the consumers requests and energy in efficient manner.
Proceedings ArticleDOI
Big Data Analytics for Electricity Theft Detection in Smart Grids
TL;DR: In this paper, a simple yet effective approach is proposed by integrating two different modules, such as data pre-processing and classification, in a single framework, which can efficiently handle data imbalance, missing values, variance and non-linear data problems.
Book ChapterDOI
Home Energy Management by Differential Evolution and Enhanced Differential Evolution in Smart Grid Environment
TL;DR: This paper focuses on optimizing power consumption in residential sector using Demand Side Management (DSM) strategy, and results show that in terms of waiting time DE performs better than EDE, however EDE performs better in Terms of cost.