📢Highly Cited Paper in #ForecastingMDPI 📖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 brnw.ch/21wTRXZ

📢Highly Cited Paper in #ForecastingMDPI 📖Macroeconomic Predictions Using Payments Data and Machine Learning ✍️by James T. E. Chapman and Ajit Desai brnw.ch/21wTRY7

📢Highly Cited Paper in #ForecastingMDPI 📖Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions ✍️by Konstantinos P. Fourkiotis and Athanasios Tsadiras brnw.ch/21wTTVT

📢Highly Cited Paper in #ForecastingMDPI 📖 #Time #Series #Dataset Survey for Forecasting with #Deep #Learning ✍️by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen brnw.ch/21wTTW2

📢Highly Cited Paper in #ForecastingMDPI 📖Short-Term Probabilistic Load Forecasting in University Buildings by Means of Artificial Neural Networks ✍️by Carla Sahori Seefoo Jarquin, Alessandro Gandelli, Francesco Grimaccia and Marco Mussetta brnw.ch/21wTX2q

📢Highly Cited Paper in #ForecastingMDPI 📖 #Predictive #Maintenance #Framework for #Fault #Detection in #Remote #Terminal Units ✍️by Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou brnw.ch/21wTX9I

📢Highly Cited Paper in #ForecastingMDPI 📖Comparison of #ARIMA, #SutteARIMA, and #Holt-Winters, and #NNAR Models to #Predict #Food #Grain in India ✍️by Ansari Saleh Ahmar, Pawan Kumar Singh, R. Ruliana, Alok Kumar Pandey and Stuti Gupta brnw.ch/21wTYUz

📢Highly Cited Paper in #ForecastingMDPI 📖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 brnw.ch/21wTYUS

📢Highly Cited Paper in #ForecastingMDPI 📖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 brnw.ch/21wU0Kc #naturaltimeanalysis #symmetrybreaking #ElNiño

📢Highly Cited Paper in #ForecastingMDPI 📖Forecasting Thailand’s Transportation #CO2 Emissions: A Comparison among #Artificial #Intelligent #Models ✍️by Thananya Janhuaton, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao brnw.ch/21wU0KM

📢Highly Cited Paper in #ForecastingMDPI 📖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 brnw.ch/21wU2uQ #ARIMA #trafficflow #LSTM

📢Highly Cited Paper in #ForecastingMDPI 📖Methodology for Optimizing Factors Affecting Road Accidents in Poland ✍️by Piotr Gorzelanczyk and Henryk Tylicki brnw.ch/21wU2vm #multicriteriaoptimization #trafficaccident #accidentprediction

📢Highly Cited Paper in #ForecastingMDPI 📖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 brnw.ch/21wU4kR

📢Highly Cited Paper in #ForecastingMDPI 📖Comparative Analysis of #Machine #Learning, #Hybrid, and #Deep #Learning #Forecasting #Models: Evidence from European Financial Markets and Bitcoins ✍️by Apostolos Ampountolas brnw.ch/21wU4kS

📢Highly Cited Paper in #ForecastingMDPI 📖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 brnw.ch/21wU860

📢Highly Cited Paper in #ForecastingMDPI 📖Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States ✍️by Bowen Long, Fangya Tan and Mark Newman brnw.ch/21wU86J #Monkeypox #ARIMA #LSTM #Prophet

📢Highly Cited Paper in #ForecastingMDPI 📖 #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 brnw.ch/21wU9WC

📢Highly Cited Paper in #ForecastingMDPI 📖Performance Analysis of #Statistical, #Machine Learning and #Deep #Learning Models in #Long-Term #Forecasting of #Solar #Power Production ✍️by A. Sedai et al. brnw.ch/21wUa3u

📢Highly Cited Paper in #ForecastingMDPI 📖Large Language Models: Their Success and Impact ✍️by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang brnw.ch/21wUbKM #LargeLanguageModels #Forecasting #ChatGPT

📢Highly Cited Paper in #ForecastingMDPI 📖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 brnw.ch/21wUbL7 #lithiumbatteries #datadriven