Printed from https://ideas.repec.org/n/nep-for/2023-06-26.html
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, or Bluesky.
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, Yonsei University, Yonsei Economics Research Institute, number 2023rwp-217, Jun.
- Sinan Deng & John Inekwe & Vladimir Smirnov & Andrew Wait & Chao Wang, 2023, "Machine Learning and Deep Learning Forecasts of Electricity Imbalance Prices," Working Papers, University of Sydney, School of Economics, number 2023-03, Jun.
- 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, arXiv.org, number 2305.09474, Apr.