Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications
by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
 
Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry
by Chandadevi Giri and Yan Chen
 
On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles
by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
 
Large Language Models: Their Success and Impact
by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
 
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
 
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
 
Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States
by Bowen Long, Fangya Tan and Mark Newman
 
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
 
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
 
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
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Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry
by Chandadevi Giri and Yan Chen
Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications
by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)
by Yili Chen, Congdong Li and Han Wang
On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles
by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion
by Pieter Cawood and Terence Van Zyl
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
Precision and Reliability of Forecasts Performance Metrics
by Philippe St-Aubin and Bruno Agard
Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling
by Abhiru Aryal, Albira Acharya and Ajay Kalra
Has EU Accession Boosted Patent Performance in the EU-13? A Critical Evaluation Using Causal Impact Analysis with Bayesian Structural Time-Series Models
by Agnieszka Kleszcz and Krzysztof Rusek
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