Paul Mario Koola
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Paul Mario Koola has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Ali Raza
School of Electrical Engineering, University of Engineering and Technology, Lahore 39161, Pakistan
1 shared publication - Ghulam Abbas
Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan
1 shared publication - Irfan Khan
Texas A&M University
1 shared publication - Manzoor Ellahi
Department of Electrical Engineering, Superior University, Lahore 54000, Pakistan
1 shared publication - Mashood Nasir
Universitas Andalas
1 shared publication - Umar Farooq
Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada
1 shared publication
Latest Publications
- Open Access
Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review
Renewable energy sources (RESs) are the replacement of fast depleting, environment polluting, costly, and unsustainable fossil fuels. RESs themselves have various issues such as variable supply towards the load during different periods, and mostly they are available at distant locations from load centers. This paper inspects forecasting techniques, employed to predict the RESs availability during different periods and considers the dispatch mechanisms for the supply, extracted from these resources. Firstly, we analyze the application of stochastic distributions especially the Weibull distribution (WD), for forecasting both wind and PV power potential, with and without incorporating neural networks (NN). Secondly, a review of the optimal economic dispatch (OED) of RES using particle swarm optimization (PSO) is presented. The reviewed techniques will be of great significance for system operators that require to gauge and pre-plan flexibility competence for their power systems to ensure practical and economical operation under high penetration of RESs.
Open AccessRecent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review
Renewable energy sources (RESs) are the replacement of fast depleting, environment polluting, costly, and unsustainable fossil fuels. RESs themselves have various issues such as variable supply towards the load during different periods, and mostly they are available at distant locations from load centers. This paper inspects forecasting techniques, employed to predict the RESs availability during different periods and considers the dispatch mechanisms for the supply, extracted from these resources. Firstly, we analyze the application of stochastic distributions especially the Weibull distribution (WD), for forecasting both wind and PV power potential, with and without incorporating neural networks (NN). Secondly, a review of the optimal economic dispatch (OED) of RES using particle swarm optimization (PSO) is presented. The reviewed techniques will be of great significance for system operators that require to gauge and pre-plan flexibility competence for their power systems to ensure practical and economical operation under high penetration of RESs.