An Interval Fuzzy Optimization-Based Technique to Optimal Generation Scheduling with Load Uncertainty

Derghal, A.; Goléa, N.; Essounbouli, Najib

doi:10.1016/j.ifacol.2016.07.648

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…Fuzzy interval prediction model and decentralized management are proposed in [87,88] to improve the forecasting methods and overall management. Some other work in literature, [91][92][93][94][95][96] highlights the integration of renewable energy resources with uncertainties, optimal selective load shedding, integration of flexible loads (household electrical appliances), and optimal generation dispatch. Various single-objective optimization algorithms, interval optimization, robust optimization, and stochastic optimization, are used in these research works.…”

Section: Uncertainty Managementmentioning

confidence: 99%

Power and energy management optimization for marine transportation electrification

Hein¹

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for their unwavering support in various aspects throughout my doctoral study and my work projects. The special thanks go to Prof Xu Yan and Mr. Gary Wilson for aspiring me to pursue Marine Transportation and imparting domain-specific knowledge since I was an intern 6 years ago. I am grateful for their constant guidance, patient, and advice which has allowed me to overcome various obstacles and challenges that I have faced in my research and career development. I would also like to thanks Rolls-Royce@NTU Corporate Lab Directors Prof Josep Pou, and Mr. Luc Scheffer for constantly reviewing the progress of the Ph.D. research and giving necessary guidance. I would also like to thank my Thesis Advisory Committee (TAC) members for reviewing and providing valuable comments to improve my thesis.I would like to acknowledge Nanyang Technological University for allowing me to pursue the doctorate and Rolls-Royce@NTU Corporate Lab for providing me with the Scholarship. I would also like to thank Rolls-Royce and NTU personal for their support, guidance, and collaborations. Special thanks go to my colleagues and friends in Rolls-Royce@NTU Corporate Lab, for their support and kind advice.Finally, I would like to give my deepest appreciation to my parents, brothers, and my fiancee for their constant support and encouragement. In the name of Allah SWT, the Most Gracious and the Most Merciful, I have the strength to finish writing the thesis despite many obstacles and challenges.

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Section: Uncertainty Managementmentioning

confidence: 99%

Power and energy management optimization for marine transportation electrification

Hein¹

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A Novel Type-2 Fuzzy Programming Approach for Solving Multiobjective Programming Problems

Biswas

Chakraborty

Ghosh

et al. 2023

Lecture Notes in Networks and Systems

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Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties

Nie

Huang

et al. 2018

Applied Energy

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An Interval Fuzzy Optimization-Based Technique to Optimal Generation Scheduling with Load Uncertainty

Cited by 6 publications

References 16 publications

Power and energy management optimization for marine transportation electrification

Power and energy management optimization for marine transportation electrification

A Novel Type-2 Fuzzy Programming Approach for Solving Multiobjective Programming Problems

Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties

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