@inproceedings{422c0c3f123d4469ae63df4c93a2972a,
title = "Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis",
abstract = "This paper introduces a group of novel datasets representing real-time time-series and streaming data of energy prices in New Zealand, sourced from the Electricity Market Information (EMI) website maintained by the New Zealand government. The datasets are intended to address the scarcity of proper datasets for streaming regression learning tasks. Our experiments demonstrate the datasets{\textquoteright} utility and highlight the challenges and opportunities for research in energy price forecasting.",
keywords = "Anomaly Detection, Data Streams, Datasets, Prediction Interval, Regression",
author = "Yibin Sun and Gomes, \{Heitor Murilo\} and Bernhard Pfahringer and Albert Bifet",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024 ; Conference date: 18-11-2024 Through 24-11-2024",
year = "2025",
month = jan,
day = "1",
doi = "10.1007/978-981-96-0128-8\_8",
language = "English",
isbn = "9789819601271",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "91--97",
editor = "Rafik Hadfi and Takayuki Ito and Patricia Anthony and Alok Sharma and Quan Bai",
booktitle = "PRICAI 2024",
}