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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’ utility and highlight the challenges and opportunities for research in energy price forecasting.

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Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • Yibin Sun,
  • Heitor Murilo Gomes,
  • Bernhard Pfahringer,
  • Albert Bifet

摘要

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’ utility and highlight the challenges and opportunities for research in energy price forecasting.