U
Umar Marikkar
Researcher at University of Peradeniya
Publications - 8
Citations - 16
Umar Marikkar is an academic researcher from University of Peradeniya. The author has contributed to research in topics: AC power & Mean absolute percentage error. The author has an hindex of 2, co-authored 7 publications receiving 8 citations.
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Posted ContentDOI
Use of Artificial Intelligence on spatio-temporal data to generate insights during COVID-19 pandemic: A Review
Gihan Jayatilaka,Hassan J,Umar Marikkar,Rumali Perera,Suren Sritharan,Harshana Weligampola,M. P. B. Ekanayake,Roshan Godaliyadda,Parakrama Ekanayake,Herath,Godaliyadda Gmd,Anuruddhika Rathnayake,Samath D Dharmaratne,Samath D Dharmaratne,Janaka Ekanayake,Janaka Ekanayake +15 more
TL;DR: This review presents a comprehensive analysis of the use of AI techniques for spatio-temporal modeling and forecasting and impact modeling on diverse populations as it relates to COVID-19 and lists potential paths of research for which AI based techniques can be used for greater impact in tackling the pandemic.
Proceedings ArticleDOI
Modified Auto Regressive Technique for Univariate Time Series Prediction of Solar Irradiance
Umar Marikkar,A. S. Jameel Hassan,Mihitha S. Maithripala,Roshan Godaliyadda,Parakrama Ekanayake,Janaka Ekanayake +5 more
TL;DR: In this article, a Modified Auto Regressive model, a Convolutional Neural Network and a Long Short Term Memory neural network that can accurately predict the solar irradiance are proposed.
Journal ArticleDOI
A sensitivity matrix approach using two-stage optimization for voltage regulation of LV networks with high PV penetration
A. S. Jameel Hassan,Umar Marikkar,G. W. Kasun Prabhath,Aranee Balachandran,W. G. Chaminda Bandara,Parakrama Ekanayake,Roshan Godaliyadda,Janaka Ekanayake +7 more
TL;DR: In this article, a centralized active, reactive power management system (CARPMS) is proposed to optimally utilize the reactive power capability of smart PV inverters with minimal active power curtailment to mitigate the voltage violation problem.
Posted Content
Modified Auto Regressive Technique for Univariate Time Series Prediction of Solar Irradiance
Umar Marikkar,A. S. Jameel Hassan,Mihitha S. Maithripala,Roshan Godaliyadda,Parakrama Ekanayake,Janaka Ekanayake +5 more
TL;DR: A Modified Auto Regressive model, a Convolutional Neural Network and a Long Short Term Memory neural network that can accurately predict the solar irradiance are proposed, assimilating the state of the art neural networks for the solar forecasting problem.
Journal ArticleDOI
Peer-to-Peer Energy Trading through Swarm Intelligent Stackelberg Game
TL;DR: Wang et al. as mentioned in this paper modeled energy trading as a Stackelberg game, ensuring that the platform maximizes social welfare while participants increase their payoffs, and applied a novel decentralized swarm intelligence technique to solve the game while ensuring the privacy of the smart agents' sensitive information.