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

HYBRID DEEP NEURAL NETWORK BASED GENERATION RESCHEDULING FOR CONGESTION MITIGATION IN SPOT POWER MARKET

Download (1.61 MB)
preprint
posted on 22.03.2022, 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.

History

References

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

Usage metrics

Categories

Keywords

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

Licence

CC BY 4.0

Exports