Time Series and Forecasting, ITISE-2024: Statement of Peer Review ^†

The ITISE 2024 (10th International Conference on Time Series and Forecasting) seeks to provide a discussion forum for scientists, engineers, educators and students about the latest ideas and realizations in terms of the foundations, theory, models and applications of interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics, forecaster, econometric, etc., in the field of time series analysis and forecasting.

The aims of ITISE 2024 are to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, ITISE 2024 solicits high-quality original research papers (including significant works-in-progress) on any aspect related to time series analysis and forecasting, in order to motivate the generation and development of new computational techniques and methods in the field.

In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal.

• Type of peer review: single-blind; double-blind; triple-blind; open; other (please describe): SINGLE-BLIND;
• Conference submission management system: Easychair
  https://easychair.org/conferences/?conf=itise2024 (accessed on 16 July 2024).
• Number of submissions sent for review: 185;
• Number of submissions accepted: 67;
• Number of submissions published: 65;
• Acceptance rate (number of submissions accepted/number of submissions received): 67/185;
• Average number of reviews per paper: 3;
• Total number of reviewers involved: 293;