Hybrid Meta-Ensemble Learning for High-Frequency Price Forecasting in the Australian National Electricity Market

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Original language	English
Title of host publication	Proceedings of the 18th International Conference on Sensing Technology (ICST), 1-3 December 2025, Utsunomiya, Japan
Publisher	IEEE
Publication status	E-pub ahead of print (In Press) - 2025

Cite this

@inproceedings{4f992a5f8844438f941bb139bd786e48,

title = "Hybrid Meta-Ensemble Learning for High-Frequency Price Forecasting in the Australian National Electricity Market",

author = "Michael Panagopoulos and Zeyang Zhou and Thomas Storey and Karthick Thiyagarajan and Catarina Moreira and Mukesh Prasad",

year = "2025",

language = "English",

booktitle = "Proceedings of the 18th International Conference on Sensing Technology (ICST), 1-3 December 2025, Utsunomiya, Japan",

publisher = "IEEE",

}

Hybrid Meta-Ensemble Learning for High-Frequency Price Forecasting in the Australian National Electricity Market. / Panagopoulos, Michael; Zhou, Zeyang; Storey, Thomas et al.
Proceedings of the 18th International Conference on Sensing Technology (ICST), 1-3 December 2025, Utsunomiya, Japan. IEEE, 2025.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Hybrid Meta-Ensemble Learning for High-Frequency Price Forecasting in the Australian National Electricity Market

AU - Panagopoulos, Michael

AU - Zhou, Zeyang

AU - Storey, Thomas

AU - Thiyagarajan, Karthick

AU - Moreira, Catarina

AU - Prasad, Mukesh

PY - 2025

Y1 - 2025

M3 - Conference Paper

BT - Proceedings of the 18th International Conference on Sensing Technology (ICST), 1-3 December 2025, Utsunomiya, Japan

PB - IEEE

ER -