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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
41	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
41	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
38	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
28	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	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
23	Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints by Akshansh Mishra and Anish Dasgupta

Citations	Article
41	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
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
12	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
10	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
8	Forecasting Thailand’s Transportation CO₂ Emissions: A Comparison among Artificial Intelligent Models by Thananya Janhuaton, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao
8	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
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
8	Predictive Maintenance Framework for Fault Detection in Remote Terminal Units by Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou
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
5	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai
5	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	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	Constructing Cybersecurity Stocks Portfolio Using AI by Avishay Aiche, Zvi Winer and Gil Cohen

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
133	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
50	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
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
42	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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33397	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
25068	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
21944	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
20420	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
17743	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
13795	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
12476	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
9949	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
9727	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
8950	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras

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25068	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
20420	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
12476	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
8950	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
8815	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
7605	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
7477	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
6878	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
6323	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
6114	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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25068	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
12476	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
7605	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
5178	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
4443	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
4148	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira
3217	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
3158	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
2554	Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models by Geun-Cheol Lee and June-Young Bang
2544	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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2258	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
2028	Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes by Kehkashan Fatima and Hussain Shareef
1888	Volatility Modelling of the Johannesburg Stock Exchange All Share Index Using the Family GARCH Model by Israel Maingo, Thakhani Ravele and Caston Sigauke
1647	The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions by Manuel Muth
1583	Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi
1579	Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu and Julian Wang
1539	Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches by Rose Ellen Macabiog and Jennifer Dela Cruz
1501	Exchange Rates, Supply Chain Activity/Disruption Effects, and Exports by Simiso Msomi and Paul-Francios Muzindutsi
1417	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
1414	Forecasting Wind Speed Using Climate Variables by Rafael Araujo Couto, Paula Medina Maçaira Louro and Fernando Luiz Cyrino Oliveira

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33397	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
25068	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
24222	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
22561	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
21944	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
20420	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
17743	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
17120	An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases by Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke
16894	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
13795	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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4526	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
4391	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
2872	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
2656	Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion by Pieter Cawood and Terence Van Zyl
2598	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
2589	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
2163	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
1747	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
1624	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras

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2589	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
1624	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
1436	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
1116	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
1016	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
1014	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
1007	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
967	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
964	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
954	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar

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1436	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
967	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
954	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
788	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
742	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
740	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
689	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
648	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
570	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
547	Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models by Geun-Cheol Lee and June-Young Bang

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387	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
385	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
345	The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions by Manuel Muth
312	Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu and Julian Wang
309	Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches by Rose Ellen Macabiog and Jennifer Dela Cruz
307	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
294	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
292	Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes by Kehkashan Fatima and Hussain Shareef
271	Testing for Bias in Forecasts for Independent Multinomial Outcomes by Philip Hans Franses and Richard Paap
266	Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi

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7734	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
7569	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
5331	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
4822	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
4729	Forecasting Commodity Prices: Looking for a Benchmark by Marek Kwas and Michał Rubaszek
4526	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
4391	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
3695	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
3610	Valuation Models Applied to Value-Based Management—Application to the Case of UK Companies with Problems by Marcel Ausloos
3295	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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