Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Large Language Models: Their Success and Impact
by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
 
Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview
by Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
 
Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction
by Vienna N. Katambire, Richard Musabe, Alfred Uwitonze and Didacienne Mukanyiligira
 
Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
by Sambandh Bhusan Dhal and Debashish Kar
 
Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
by Konstantinos P. Fourkiotis and Athanasios Tsadiras
 
Impact of PV and EV Forecasting in the Operation of a Microgrid
by Giampaolo Manzolini, Andrea Fusco, Domenico Gioffrè, Silvana Matrone, Riccardo Ramaschi, Marios Saleptsis, Riccardo Simonetti, Filip Sobic, Michael James Wood, Emanuele Ogliari and Sonia Leva
 
Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins
by Apostolos Ampountolas
 
A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes
by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
 
Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach
by C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul
 
A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event
by Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou
Downloads Article
Large Language Models: Their Success and Impact
by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions
by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
by Konstantinos P. Fourkiotis and Athanasios Tsadiras
Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
by Sambandh Bhusan Dhal and Debashish Kar
Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
by David L. John, Sebastian Binnewies and Bela Stantic
Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization
by Amina Ladhari and Heni Boubaker
A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes
by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess
by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview
by Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
Macroeconomic Predictions Using Payments Data and Machine Learning
by James T. E. Chapman and Ajit Desai
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