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Report NEP-FOR-2023-06-26
This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-FOR
The following items were announced in this report:
- Xin Jing & Jin Seo Cho, 2023. "Forecasting the Confirmed COVID-19 Cases Using Modal Regression," Working papers 2023rwp-217, Yonsei University, Yonsei Economics Research Institute.
- Sinan Deng & John Inekwe & Vladimir Smirnov & Andrew Wait & Chao Wang, 2023. "Machine Learning and Deep Learning Forecasts of Electricity Imbalance Prices," Working Papers 2023-03, University of Sydney, School of Economics.
- Jungyeon Park & Est^ev~ao Alvarenga & Jooyoung Jeon & Ran Li & Fotios Petropoulos & Hokyun Kim & Kwangwon Ahn, 2023. "Probabilistic Forecast-based Portfolio Optimization of Electricity Demand at Low Aggregation Levels," Papers 2305.09474, arXiv.org.