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Citations	Article
73	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
61	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
54	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
44	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
43	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
34	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
30	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
25	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
24	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
23	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

Citations	Article
61	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
34	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
25	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
24	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
23	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
22	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
21	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
16	Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps by László Vancsura, Tibor Tatay and Tibor Bareith
15	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
14	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai

Citations	Article
16	Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps by László Vancsura, Tibor Tatay and Tibor Bareith
9	A Wavelet–Attention–Convolution Hybrid Deep Learning Model for Accurate Short-Term Photovoltaic Power Forecasting by Kaoutar Ait Chaoui, Hassan EL Fadil, Oumaima Choukai and Oumaima Ait Omar
6	From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting by Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu and Wai-Lun Lo
5	Machine Learning Forecasting of Direct Solar Radiation: A Multi-Model Evaluation with Trigonometric Cyclical Encoding by Latif Bukari Rashid, Shahzada Zaman Shuja and Shafiqur Rehman
5	Deep Learning-Based Multi-Source Precipitation Forecasting in Arid Regions Using Different Optimizations: A Case Study from Konya, Turkey by Vahdettin Demir
4	Cross-Regional Deep Learning for Air Quality Forecasting: A Comparative Study of CO, NO₂, O₃, PM_2.5, and PM₁₀ by Adam Booth, Philip James, Stephen McGough and Ellis Solaiman
3	Smarter Chains, Safer Medicines: From Predictive Failures to Algorithmic Fixes in Global Pharmaceutical Logistics by Kathleen Marshall Park, Sarthak Pattnaik, Natasya Liew, Triparna Kundu, Ali Ozcan Kures and Eugene Pinsky
3	Energy Demand Forecasting Using Temporal Variational Residual Network by Simachew Ashebir and Seongtae Kim
3	Demand Forecasting in the Automotive Industry: A Systematic Literature Review by Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates
3	TimeGPT’s Potential in Cryptocurrency Forecasting: Efficiency, Accuracy, and Economic Value by Minxing Wang, Pavel Braslavski and Dmitry I. Ignatov

Citations	Article
1	A Highly Accurate and Efficient Statistical Framework for Short-Term Load Forecasting: A Case Study for Mexico by Luis Conde-López, Monica Borunda, Gerardo Ruiz-Chavarría and Tomás Aparicio-Cárdenas
1	Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm by Jae-Hyeok Seok, Hee-Wook Choi and Sang-Sam Lee
1	Pollutant-Specific Deep Learning Architectures for Multi-Species Air Quality Bias Correction: Application to NO₂ and PM₁₀ in California by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris and Rafaella-Eleni P. Sotiropoulou
1	Beyond Accuracy: The Cognitive Economy of Trust and Absorption in the Adoption of AI-Generated Forecasts by Anne-Marie Sassenberg, Nirmal Acharya, Padmaja Kar and Mohammad Sadegh Eshaghi
1	Climate Indices as Potential Predictors in Empirical Long-Range Meteorological Forecasting Models by Sergei Soldatenko, Genrikh Alekseev, Vladimir Loginov, Yaromir Angudovich and Irina Danilovich
1	An Explainable Voting Ensemble Framework for Early-Warning Forecasting of Corporate Financial Distress by Lersak Phothong, Anupong Sukprasert, Sutana Boonlua, Prapaporn Chubsuwan, Nattakron Seetha and Rotcharin Kunsrison
1	A Comparative Study of Univariate Models for Baltic Dry Index Forecasting by Juan Huang, Ching-Wu Chu and Hsiu-Li Hsu
1	The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand by Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri
1	Machine Learning Forecasting of Strong Subsequent Events in New Zealand Using the NESTORE Algorithm by Letizia Caravella and Stefania Gentili
1	GDP Forecasting with ARIMA, Hidden Markov Models, and an HMM–LSTM Hybrid: Evidence from Five Economies by Achilleas Tampouris and Chaido Dritsaki

Citations	Article
194	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
94	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
89	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
75	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
73	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
70	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
67	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
63	A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance by Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo
61	Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models by Apostolos Ampountolas
61	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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29466	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
24548	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
22769	Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps by László Vancsura, Tibor Tatay and Tibor Bareith
17922	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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29466	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
22769	Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps by László Vancsura, Tibor Tatay and Tibor Bareith
17922	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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9948	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
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8670	TimeGPT’s Potential in Cryptocurrency Forecasting: Efficiency, Accuracy, and Economic Value by Minxing Wang, Pavel Braslavski and Dmitry I. Ignatov
7958	Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning by Lyne Imene Souadda, Ahmed Rami Halitim, Billel Benilles, José Manuel Oliveira and Patrícia Ramos

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30932	Probabilistic Projections of South Korea’s Population Decline and Subnational Dynamics by Jeongsoo Kim
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7819	The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand by Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri
7221	Demand Forecasting in the Automotive Industry: A Systematic Literature Review by Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates
5057	Detecting Stablecoin Failure with Simple Thresholds and Panel Binary Models: The Pivotal Role of Lagged Market Capitalization and Volatility by Dean Fantazzini
5003	Forecasting Youth Unemployment Through Educational and Demographic Indicators: A Panel Time-Series Approach by Arsen Tleppayev and Saule Zeinolla
4988	EXPERT: EXchange Rate Prediction Using Encoder Representation from Transformers by Efstratios Bilis, Theophilos Papadimitriou, Konstantinos Diamantaras and Konstantinos Goulianas
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4223	From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting by Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu and Wai-Lun Lo

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2540	The Symmetric Mean Absolute Percentage Error: Unnecessary or Dangerous by Stephan Kolassa
2215	Multi-Timeframe Feature Engineering for Bitcoin Market Prediction: A Price-Level-Agnostic Machine Learning Approach by Pedro Sobreiro, Domingos Martinho, Rui Martins and Ricardo Vardasca
2161	Bitcoin Volatility Forecasting Through Market Sentiment, Blockchain Fundamentals, and Endogenous Market Uncertainty by Marcel Figura, Martin Bugaj, Elvira Nica and Gheorghe H. Popescu
2118	GDP Forecasting with ARIMA, Hidden Markov Models, and an HMM–LSTM Hybrid: Evidence from Five Economies by Achilleas Tampouris and Chaido Dritsaki
1944	Crude Oil Shocks and Saudi Stock Returns: An Integrated Granger–LSTM–XGBoost Analysis by Priyanka Aggarwal, Nevi Danila, Eddy Suprihadi and Manoj Kumar Manish
1915	Projection of Changes in Coastal Water Temperature of the Baltic Sea up to 2100 by Mariusz Ptak, Mariusz Sojka, Soufiane Haddout and Teerachai Amnuaylojaroen
1856	Pollutant-Specific Deep Learning Architectures for Multi-Species Air Quality Bias Correction: Application to NO₂ and PM₁₀ in California by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris and Rafaella-Eleni P. Sotiropoulou
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3524	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
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1459	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

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3045	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
2352	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
1911	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
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1192	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
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1130	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
1118	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah

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1492	Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps by László Vancsura, Tibor Tatay and Tibor Bareith
1071	The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand by Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri
910	Demand Forecasting in the Automotive Industry: A Systematic Literature Review by Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates
669	Forecasting Youth Unemployment Through Educational and Demographic Indicators: A Panel Time-Series Approach by Arsen Tleppayev and Saule Zeinolla
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559	Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model by Hussein Alabdally, Mumtaz Ali, Mohammad Diykh, Ravinesh C. Deo, Anwar Ali Aldhafeeri, Shahab Abdulla and Aitazaz Ahsan Farooque
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1071	The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand by Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri
600	Satellite Data and Artificial Intelligence for FINtech by Alberto Garinei, Massimiliano Proietti, Alessandro Vispa, Stefano Speziali, Giovanni Bartolini, Marcello Marconi, Emanuele Piccioni, Matteo Martini, Francesca Fallucchi, Romeo Giuliano, Ernesto William De Luca, Umberto Di Matteo and Valerio Lemma
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361	Assessing Historical and Simulating Future Land-Use and Land-Cover Change Through an Integrated Cellular Automata and Machine-Learning Framework in Urbanizing Areas by Roshan Sewa, Bibas Pokhrel, Bikash Subedi, Roshan Raj Karki, Bishal Poudel and Ajay Kalra

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8319	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
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4090	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
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3883	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

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