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HYBRID DEEP NEURAL NETWORK BASED GENERATION RESCHEDULING FOR CONGESTION MITIGATION IN SPOT POWER MARKET.pdf (1.61 MB)
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HYBRID DEEP NEURAL NETWORK BASED GENERATION RESCHEDULING FOR CONGESTION MITIGATION IN SPOT POWER MARKET

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posted on 2022-03-22, 03:03 authored by Professor (Dr.) R.K. SaketProfessor (Dr.) R.K. Saket
Hybrid Deep Neural Network Based Generation Rescheduling for Congestion Mitigation in Spot Power Market
Agrawal, Anjali; Pandey, Seema N.; Srivastava, Laxmi; Walde, Pratima; Singh, Saumya; Khan, Baseem; Saket, R.K.

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Email Address of Submitting Author

rksaket@ieee.org

ORCID of Submitting Author

0000-0002-2773-9599

Submitting Author's Institution

Indian Institute of Technology (BHU) Varanasi (UP) INDIA

Submitting Author's Country

  • India

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    Keywords

    Bilateral/multilateral transactionsCongestion managementDeep Neural NetworkGeneration reschedulingModified Back propagation algorithm-based ANN

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    CC BY 4.0

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