M
Mohana Alanazi
Researcher at University of Denver
Publications - 41
Citations - 235
Mohana Alanazi is an academic researcher from University of Denver. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 5, co-authored 13 publications receiving 83 citations. Previous affiliations of Mohana Alanazi include Al Jouf University.
Papers
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Journal ArticleDOI
Co-optimization generation and transmission planning for maximizing large-scale solar PV integration
TL;DR: A co-optimization generation and transmission planning model is proposed to maximize large-scale solar PV hosting capacity and determines the optimal solar PV size and location, along with potential required PV energy curtailment.
Journal ArticleDOI
An efficient short-term energy management system for a microgrid with renewable power generation and electric vehicles
Mujahed Al-Dhaifallah,Ziad M. Ali,Ziad M. Ali,Mohana Alanazi,Sajjad Dadfar,Mohammad Hosein Fazaeli +5 more
TL;DR: The influence of plug-in hybrid electric vehicles (PHEVs) charging on microgrids' optimal operation is evaluated and a modified harmony search (MHS) algorithm is used for optimisation scheduling of microgrid considering uncertainty.
Proceedings ArticleDOI
Long-term solar generation forecasting
TL;DR: A new approach to tackle the long-term forecasting challenge and accordingly reduce the uncertainty of the PV forecast, which would accordingly help facilitate its integration into the electric power grid.
Proceedings ArticleDOI
Two-stage hybrid day-ahead solar forecasting
TL;DR: In this paper, a two-stage day-ahead solar forecasting method that breaks down the forecasting into linear and nonlinear parts, determines subsequent forecasts, and accordingly, improves accuracy of the obtained results is proposed.
Journal ArticleDOI
Optimal Power Flow Solution of Power Systems with Renewable Energy Sources Using White Sharks Algorithm
TL;DR: In this article , a white shark optimizer (WSO) is proposed to solve the OPF problems based on a single objective and considering the minimization of the generation cost.