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Report NEP-FOR-2024-12-30
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:
- Yannik Pflugfelder & Aiko Schinke-Nendza & Jonathan Dumas & Christoph Weber, 2024, "Deriving multivariate probabilistic solar generation forecasts based on hourly imbalanced data," EWL Working Papers, University of Duisburg-Essen, Chair for Management Science and Energy Economics, number 2407, Nov, revised Nov 2024.
- Mabsur Fatin Bin Hossain & Lubna Zahan Lamia & Md Mahmudur Rahman & Md Mosaddek Khan, 2024, "FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics," Papers, arXiv.org, number 2411.12748, Nov.
- Hanwool Lee & Heehwan Park, 2024, "IVE: Enhanced Probabilistic Forecasting of Intraday Volume Ratio with Transformers," Papers, arXiv.org, number 2411.10956, Nov, revised Mar 2025.
- Jue Xiao & Tingting Deng & Shuochen Bi, 2024, "Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction," Papers, arXiv.org, number 2411.05790, Oct.