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For: Aghajani A, Kazemzadeh R, Ebrahimi A. Short-term prediction of market-clearing price of electricity in the presence of wind power plants by a hybrid intelligent system. Neural Comput Appl 2018. [DOI: 10.1007/s00521-018-3544-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]

For:	Aghajani A, Kazemzadeh R, Ebrahimi A. Short-term prediction of market-clearing price of electricity in the presence of wind power plants by a hybrid intelligent system. Neural Comput Appl 2018. [DOI: 10.1007/s00521-018-3544-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]

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Cited by Other Article(s)

Chaudhury P, Tyagi A, Shanmugam PK. Comparison of Various Machine Learning Algorithms for Predicting Energy Price in Open Electricity Market. 2020 INTERNATIONAL CONFERENCE AND UTILITY EXHIBITION ON ENERGY, ENVIRONMENT AND CLIMATE CHANGE (ICUE) 2020. [DOI: 10.1109/icue49301.2020.9307100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2023]

Fu T, Zhang S, Wang C. Application and research for electricity price forecasting system based on multi-objective optimization and sub-models selection strategy. Soft comput 2020. [DOI: 10.1007/s00500-020-04888-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]