Time Series Analysis and Forecasting: Selected Contributions from Itise 2023
暫譯: 時間序列分析與預測：來自 Itise 2023 的選定貢獻

本卷書籍探討時間序列分析與預測理論及應用的最新發展，包含在2023年7月12日至14日於西班牙大加那利島舉行的第九屆國際時間序列與預測會議（ITISE 2023）上發表的經過審核的論文選集。內容分為幾個部分，涵蓋時間序列分析的現代理論面向、高級計量經濟學方法、時間序列與機器學習、金融預測與風險分析，以及應用於各個學科，包括計量經濟學和能源研究。所呈現的廣泛主題和應用，特別是與可持續發展相關的議題，為讀者提供了該主題的現代視角。

ITISE會議系列為科學家、工程師、教育工作者和學生提供了一個論壇，以討論時間序列分析與預測的基礎、理論、模型和應用的最新進展與實施。會議重點在於跨學科研究，涵蓋計算機科學、數學、統計學和計量經濟學。

Olga Valenzuela is an Associate Professor at the Department of Applied Mathematics, University of Granada, Spain, where she received her Ph.D. in 2003. She has worked as an invited researcher at the Department of Statistics, University of Jaen, Spain, and at the Department of Computer and Information Science, University of Genova, Italy. Her research interests include optimization theory and applications, statistical analysis, fuzzy systems, neural networks, time series forecasting using linear and non-linear methods, evolutionary computation and bioinformatics. She has published more than 65 papers listed in the Web of Science.

Fernando Rojas is an Associate Professor at the University of Granada, Spain, where he received his Ph.D. in 2004. His research focuses on signal processing, artificial intelligence techniques for optimization, including evolutionary computation, fuzzy logic, neural networks etc., and the study of computer architectures for parallel processing in complex problems, such as time series prediction. He has published over 25 articles in JCR-indexed journals. A former coordinator of the Master's Degree in Computer and Network Engineering at the University of Granada, he has been the secretary of the Master's Degree in Data Science and Computer Engineering since 2014, and the secretary of the Department of Architecture and Computer Technology at the University of Granada since 2018.

Luis Javier Herrera is an Associate Professor at the University of Granada, Spain, where he received his Ph.D. in 2006. His research focuses on machine learning techniques (fuzzy logic, deep learning, genetic algorithms, etc.), and on their optimization and application over a wide range of scientific problems related to classification, approximation and time series prediction, sometimes requiring high-performance computing systems. These applications include relevant problems in several fields such as biomedicine, bioinformatics, biochemistry, physics, optics, etc. He has published more than 40 papers in JCR-indexed journals. Over the last several years, he has (co-)led a number of research projects backed by national and regional funding entities.

Héctor Pomares has been a Full Professor at the University of Granada, Spain, since 2001. He has published more than 50 articles in JCR-indexed journals and contributed over 150 papers to international conferences. He has led or participated in 15 national projects, one independent R&D Excellence project and 13 contracts for innovative research through the University of Granada Foundation Company and the Office of Transfer of Research Results. He has been a visiting researcher at numerous prestigious research centers outside Spain. He is currently a member of the editorial board of the Journal of Applied Mathematics (JCR-indexed) and the coordinator of the Master's Degree in Computer & Network Engineering at the University of Granada..

Ignacio Rojas is a Full Professor at the Department of Computer Architecture and Computer Technology, University of Granada, Spain. His research focuses on the study of complex multidimensional systems using intelligent systems, supported by high-performance computing platforms, and their applications in various fields, including bioinformatics, biomedicine, and time series prediction. Throughout his research career, he has served as a principal investigator or otherwise participated in more than 24 research projects obtained in competitive tenders, including projects for the European Union, the I+D+I Spanish National Government and the Unit of Excellence of the Ministry of Innovation, Science and Enterprise Junta de Andalucía. He has more than 270 publications listed in the Web of Science, including more than 120 articles in JCR-indexed journals. He has actively participated in more than 125 international conferences, supervised 25 doctoral theses, and organized various international conferences, workshops and special sessions.

Olga Valenzuela 是西班牙格拉納達大學應用數學系的副教授，於2003年獲得博士學位。她曾在西班牙哈恩大學統計系和意大利熱那亞大學計算機與信息科學系擔任受邀研究員。她的研究興趣包括優化理論及其應用、統計分析、模糊系統、神經網絡、使用線性和非線性方法的時間序列預測、進化計算和生物信息學。她已在《科學網絡》（Web of Science）上發表超過65篇論文。

Fernando Rojas 是西班牙格拉納達大學的副教授，於2004年獲得博士學位。他的研究專注於信號處理、用於優化的人工智能技術，包括進化計算、模糊邏輯、神經網絡等，以及計算機架構在複雜問題（如時間序列預測）中的並行處理研究。他在JCR索引的期刊上發表了超過25篇文章。作為格拉納達大學計算機與網絡工程碩士學位的前協調員，自2014年以來，他一直擔任數據科學與計算機工程碩士學位的秘書，並自2018年以來擔任格拉納達大學計算機技術與建築系的秘書。

Luis Javier Herrera 是西班牙格拉納達大學的副教授，於2006年獲得博士學位。他的研究專注於機器學習技術（模糊邏輯、深度學習、遺傳算法等），以及它們在與分類、近似和時間序列預測相關的各種科學問題上的優化和應用，有時需要高性能計算系統。這些應用包括生物醫學、生物信息學、生物化學、物理學、光學等多個領域的相關問題。他在JCR索引的期刊上發表了超過40篇論文。在過去幾年中，他（共同）領導了多個由國家和地區資助機構支持的研究項目。

Héctor Pomares 自2001年以來一直是西班牙格拉納達大學的正教授。他在JCR索引的期刊上發表了超過50篇文章，並為國際會議貢獻了超過150篇論文。他主導或參與了15個國家項目、一個獨立的R&D卓越項目，以及通過格拉納達大學基金會和研究成果轉移辦公室進行的13個創新研究合同。他曾在西班牙以外的多個著名研究中心擔任訪問研究員。目前，他是《應用數學期刊》（Journal of Applied Mathematics，JCR索引）的編輯委員會成員，並擔任格拉納達大學計算機與網絡工程碩士學位的協調員。

Ignacio Rojas 是西班牙格拉納達大學計算機架構與計算機技術系的正教授。他的研究專注於使用智能系統研究複雜的多維系統，並依賴高性能計算平台，及其在生物信息學、生物醫學和時間序列預測等各個領域的應用。在他的研究生涯中，他擔任過主要研究員或以其他方式參與了超過24個在競爭性招標中獲得的研究項目，包括歐盟、西班牙國家政府的I+D+I項目以及安達盧西亞創新、科學和企業部的卓越單位項目。他在《科學網絡》上有超過270篇出版物，其中包括超過120篇在JCR索引的期刊上發表的文章。他積極參加了超過125個國際會議，指導了25篇博士論文，並組織了各種國際會議、研討會和特別會議。