A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market-Reference-Cited by-同舟云学术

A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market

Published:2024-10 Issue:4 Volume:40 Page:1421-1437
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Cornell Cameron^ORCID,Dinh Nam Trong^ORCID,Pourmousavi S. Ali^ORCID

Funder

The University of Adelaide

Publisher

Elsevier BV

Reference57 articles.

1. AEMO (2021a). Pre-dispatch: Technical Report, URL: https://www.aemo.com.au/-/media/files/electricity/nem/5ms/procedures-workstream/stakeholder-consultation/dispatch-procedures/so_op_3704---predispatch---marked-up.pdf.

2. Spot market operations timetable;AEMO,2021

3. Market price cap;AEMO,2022

4. Constraint formulation guidelines;AEMO,2023

5. Probabilistic deep neural network price forecasting based on residential load and wind speed predictions;Afrasiabi;IET Renewable Power Generation,2019

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3. Day-ahead electricity price prediction in multi-price zones based on multi-view fusion spatio-temporal graph neural network;Applied Energy;2024-09

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