M
Mojgan Mollahassani-pour
Researcher at University of Sistan and Baluchestan
Publications - 17
Citations - 284
Mojgan Mollahassani-pour is an academic researcher from University of Sistan and Baluchestan. The author has contributed to research in topics: Demand response & Preventive maintenance. The author has an hindex of 8, co-authored 17 publications receiving 187 citations. Previous affiliations of Mojgan Mollahassani-pour include Shahid Bahonar University of Kerman.
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Optimal Behavior of a Hybrid Power Producer in Day-Ahead and Intraday Markets: A Bi-Objective CVaR-Based Approach
TL;DR: Simulation results reveal that taking advantage of the CSPP in the intraday market, and coordinated operation of all resources not only enhance the profitability of the system but also lessen the associated risk compared to the previous models.
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Investigation of Market-Based Demand Response Impacts on Security-Constrained Preventive Maintenance Scheduling
TL;DR: A new structure for security-constrained PMS associated with DR programs is suggested and a new linearized formulation of cost-and-emission-based preventive maintenance problem is presented to scrutinize the economic- and environmental-driven measures of DR programs.
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A novel two-stage structure for coordination of energy efficiency and demand response in the smart grid environment
TL;DR: A novel integrated model of demand in presence of EEPs as well as DR programs has been nominated and several analysis are carried out on the IEEE 10-unit to confirm the capability of the proposed framework from economic aspect.
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Application of a novel cost reduction index to preventive maintenance scheduling
TL;DR: In this paper, a new formulation of preventive maintenance scheduling associated with a novel cost reduction index (CRI) is developed, where the objective of the cost-based preventive maintenance schedule consists of the operation as well as maintenance cost over a specified time horizon.
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An efficient hybrid structure to solve economic-environmental energy scheduling integrated with demand side management programs
TL;DR: In this article, a two-stage framework concentrating on demand side management including energy efficiency programs and demand response programs is presented to handle system expenditures as well as pollutants in the smart power system.