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Citations	Article
36	Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks by Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
32	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
28	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
26	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
25	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
25	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
22	SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting by Roberto Vega, Leonardo Flores and Russell Greiner
22	A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance by Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo
21	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman
20	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

Citations	Article
26	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
25	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
25	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
21	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman
20	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
20	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
19	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
17	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
9	Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins by Apostolos Ampountolas
9	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

Citations	Article
7	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
3	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
3	Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations by Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro and Érick Oliveira Rodrigues
3	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
3	Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study by Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
2	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
2	Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model by Abubaker Younis, Fatima Belabbes, Petru Adrian Cotfas and Daniel Tudor Cotfas
2	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai
2	Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning by Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch
1	Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia by Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi

Citations	Article
3	Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations by Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro and Érick Oliveira Rodrigues
2	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai
1	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
1	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
1	Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions by Fhulufhelo Walter Mugware, Caston Sigauke and Thakhani Ravele

Citations	Article
118	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
51	Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin by Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
48	Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique by Ismail Shah, Hasnain Iftikhar and Sajid Ali
42	Corporate Foresight and Dynamic Capabilities: An Exploratory Study by Lisa-Marie Semke and Victor Tiberius
40	Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models by Apostolos Ampountolas
39	Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images by Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris
36	Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India by Alen Shrestha, Md Mafuzur Rahaman, Ajay Kalra, Rohit Jogineedi and Pankaj Maheshwari
36	Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks by Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
34	A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets by Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan
34	Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices by Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi

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28779	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
19852	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
19334	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
18626	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
15482	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
12541	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
9728	A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance by Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo
9315	A Coordinated Analysis of Physical Reactivity to Daily Stressors: Age and Proactive Coping Matter by Shevaun D. Neupert, Emily L. Smith and Margaret L. Schriefer
9018	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
7901	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen

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19334	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
18626	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
12541	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
9018	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
7901	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
6504	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
6471	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
6349	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
5687	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
5645	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek

Views	Article
9018	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
6504	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
6349	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
5687	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
4294	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
3591	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
2980	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
2924	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
2638	Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study by Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
2445	Forecasting Convective Storms Trajectory and Intensity by Neural Networks by Niccolò Borghi, Giorgio Guariso and Matteo Sangiorgio

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9018	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
6504	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
4294	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
2980	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
1929	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
1752	Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions by Fhulufhelo Walter Mugware, Caston Sigauke and Thakhani Ravele
1717	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
1665	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
1499	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai
1430	Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task by Philipp Schlieper, Mischa Dombrowski, An Nguyen, Dario Zanca and Bjoern Eskofier

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28779	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
21550	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
19852	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
19334	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
18626	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
15482	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
15427	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
15016	An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases by Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke
12541	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
11143	Is It Possible to Forecast the Price of Bitcoin? by Julien Chevallier, Dominique Guégan and Stéphane Goutte

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4727	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
4044	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
3844	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
2561	Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion by Pieter Cawood and Terence Van Zyl
2474	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
2215	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
2020	A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance by Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo
1978	Precision and Reliability of Forecasts Performance Metrics by Philippe St-Aubin and Bruno Agard
1900	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
1889	SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting by Roberto Vega, Leonardo Flores and Russell Greiner

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2474	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
2215	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
1838	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
1480	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
1391	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
1306	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
1148	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
1120	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman
958	Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study by Brahim Belmahdi, Mohamed Louzazni, Mousa Marzband and Abdelmajid El Bouardi
955	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

Downloads	Article
1148	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
871	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
769	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
641	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
609	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
599	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
575	Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study by Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
571	Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints by Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah
567	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
553	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel

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871	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
609	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
567	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
553	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
543	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
534	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
509	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
437	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai
430	A Data-Driven Multi-Step Flood Inundation Forecast System by Felix Schmid and Jorge Leandro
410	A Delphi–Fuzzy Delphi Study on SDGs 9 and 12 after COVID-19: Case Study in Brazil by Isabela Caroline de Sousa, Tiago F. A. C. Sigahi, Izabela Simon Rampasso, Gustavo Hermínio Salati Marcondes de Moraes, Walter Leal Filho, João Henrique Paulino Pires Eustachio and Rosley Anholon

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7433	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
7367	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
4727	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
4586	Forecasting Commodity Prices: Looking for a Benchmark by Marek Kwas and Michał Rubaszek
4530	Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices by Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi
4044	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
3844	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
3494	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
3436	Valuation Models Applied to Value-Based Management—Application to the Case of UK Companies with Problems by Marcel Ausloos
3076	An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases by Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke

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