Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks
by Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli
 
Large Language Models: Their Success and Impact
by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
 
Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production
by Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
 
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
 
Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil
by Florin Aliu, Jiří Kučera and Simona Hašková
 
Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies
by Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva
 
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
 
Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins
by Apostolos Ampountolas
 
Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
by Sambandh Bhusan Dhal and Debashish Kar
 
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
Views Article
Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
by David L. John, Sebastian Binnewies and Bela Stantic
Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions
by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
Large Language Models: Their Success and Impact
by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
Probabilistic Projections of South Korea’s Population Decline and Subnational Dynamics
by Jeongsoo Kim
Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil
by Florin Aliu, Jiří Kučera and Simona Hašková
Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
by Konstantinos P. Fourkiotis and Athanasios Tsadiras
Time Series Dataset Survey for Forecasting with Deep Learning
by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps
by László Vancsura, Tibor Tatay and Tibor Bareith
Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization
by Amina Ladhari and Heni Boubaker
Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
by Sambandh Bhusan Dhal and Debashish Kar
Downloads Article
Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production
by Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
Large Language Models: Their Success and Impact
by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
by Konstantinos P. Fourkiotis and Athanasios Tsadiras
Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions
by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
Time Series Dataset Survey for Forecasting with Deep Learning
by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil
by Florin Aliu, Jiří Kučera and Simona Hašková
Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
by Sambandh Bhusan Dhal and Debashish Kar
A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks
by Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli
Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
by David L. John, Sebastian Binnewies and Bela Stantic
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
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