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Citations	Article
47	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
42	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
42	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
38	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
30	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman
27	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
26	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
24	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
23	Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints by Akshansh Mishra and Anish Dasgupta
23	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

Citations	Article
42	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
23	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
13	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
12	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
11	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
9	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
9	Forecasting Thailand’s Transportation CO₂ Emissions: A Comparison among Artificial Intelligent Models by Thananya Janhuaton, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao
8	Predictive Maintenance Framework for Fault Detection in Remote Terminal Units by Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou
8	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
7	Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach by Teerachai Amnuaylojaroen

Citations	Article
7	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
6	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
6	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
6	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
6	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
6	Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models by Bishal Poudel, Dewasis Dahal, Mandip Banjara and Ajay Kalra
5	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai
5	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
4	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
3	Granger Causality-Based Forecasting Model for Rainfall at Ratnapura Area, Sri Lanka: A Deep Learning Approach by Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj and Musa Mammadov

Citations	Article
2	White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting by Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova
1	Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu and Julian Wang
1	Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes by Kehkashan Fatima and Hussain Shareef
1	Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches by Rose Ellen Macabiog and Jennifer Dela Cruz
1	Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O₃) Prediction in Johannesburg, South Africa by Israel Edem Agbehadji and Ibidun Christiana Obagbuwa
1	Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi

Citations	Article
134	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
56	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
52	Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique by Ismail Shah, Hasnain Iftikhar and Sajid Ali
51	Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models by Apostolos Ampountolas
47	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
45	Corporate Foresight and Dynamic Capabilities: An Exploratory Study by Lisa-Marie Semke and Victor Tiberius
45	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
45	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
44	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
43	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

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33630	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
25566	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
22071	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
20480	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
17835	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
13831	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
12704	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
9963	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
9834	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
9122	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras

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25566	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
20480	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
12704	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
9122	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
8945	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
7748	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
7604	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
6963	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
6425	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
6179	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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25566	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
12704	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
7748	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
5253	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
4572	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
4286	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira
3294	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
3251	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
2640	Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models by Geun-Cheol Lee and June-Young Bang
2606	Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models by Bishal Poudel, Dewasis Dahal, Mandip Banjara and Ajay Kalra

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2360	White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting by Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova
2163	Volatility Modelling of the Johannesburg Stock Exchange All Share Index Using the Family GARCH Model by Israel Maingo, Thakhani Ravele and Caston Sigauke
2139	Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes by Kehkashan Fatima and Hussain Shareef
1766	Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi
1682	The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions by Manuel Muth
1665	Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu and Julian Wang
1657	Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches by Rose Ellen Macabiog and Jennifer Dela Cruz
1568	Exchange Rates, Supply Chain Activity/Disruption Effects, and Exports by Simiso Msomi and Paul-Francios Muzindutsi
1547	Forecasting Wind Speed Using Climate Variables by Rafael Araujo Couto, Paula Medina Maçaira Louro and Fernando Luiz Cyrino Oliveira
1476	Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy by Anderson M. Iung, Fernando L. Cyrino Oliveira, Andre L. M. Marcato and Guilherme A. A. Pereira

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33630	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
25566	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
24363	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
22610	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
22071	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
20480	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
17835	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
17220	An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases by Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke
16946	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
13831	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

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4556	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
4407	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
2893	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
2662	Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion by Pieter Cawood and Terence Van Zyl
2646	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
2603	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
2170	Precision and Reliability of Forecasts Performance Metrics by Philippe St-Aubin and Bruno Agard
1962	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
1764	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
1651	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras

Downloads	Article
2603	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
1651	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
1449	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
1120	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
1021	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
1021	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
1020	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
982	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
969	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
962	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar

Downloads	Article
1449	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
982	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
962	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
798	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
752	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
748	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
694	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
656	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
582	Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models by Bishal Poudel, Dewasis Dahal, Mandip Banjara and Ajay Kalra
558	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira

Downloads	Article
395	White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting by Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova
390	Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy by Anderson M. Iung, Fernando L. Cyrino Oliveira, Andre L. M. Marcato and Guilherme A. A. Pereira
353	The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions by Manuel Muth
325	Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu and Julian Wang
323	Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches by Rose Ellen Macabiog and Jennifer Dela Cruz
315	Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain by Javier Gómez-Gómez, Eduardo Gutiérrez de Ravé and Francisco J. Jiménez-Hornero
303	Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes by Kehkashan Fatima and Hussain Shareef
300	Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spatiotemporal Meteorological Information by Llinet Benavides-Cesar, Miguel-Ángel Manso-Callejo and Calimanut-Ionut Cira
278	Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi
273	Testing for Bias in Forecasts for Independent Multinomial Outcomes by Philip Hans Franses and Richard Paap

Downloads	Article
7743	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
7576	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
5344	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
4839	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
4733	Forecasting Commodity Prices: Looking for a Benchmark by Marek Kwas and Michał Rubaszek
4556	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
4407	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
3702	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
3617	Valuation Models Applied to Value-Based Management—Application to the Case of UK Companies with Problems by Marcel Ausloos
3304	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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