Forecasting MDPI

📢 Editor’s Choice Paper in #Forecasting! 📖 White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting ✍️Hossein Hassani et. al. 🔗 brnw.ch/21x1tLe #TimeSeries #WhiteNoise #Forecasting #ModelSelection #ARMA

📢 Editor’s Choice Paper in #Forecasting! 📖 Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes ✍️ Kehkashan Fatima and Hussain Shareef 🔗 brnw.ch/21x1tLb #BayesianNetworks #PowerSystems #HurricaneForecasting #EnergyForecasting

📢 Editor’s Choice Paper in #Forecasting! 📖 Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems ✍️ X. Xu and J. Wang 🔗 brnw.ch/21x1rGS #BayesianNeuralNetworks #PhysicsGuidedAI #UncertaintyQuantification

📢 Editor’s Choice Paper in #Forecasting! 📖 Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy ✍️ Anderson M. Iung et. al. 🔗 brnw.ch/21x1rG7 #RenewableEnergy #HydroPower #WindEnergy #SolarPower

📢 Editor’s Choice Paper in #Forecasting! 📖 Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O3) Prediction in Johannesburg, South Africa 🔗 brnw.ch/21x1pxr #AirQuality #DeepLearning #BiLSTM

📢 Editor’s Choice Paper in #Forecasting! 📖 A Wavelet–Attention–Convolution Hybrid Deep Learning Model for Accurate Short-Term Photovoltaic Power Forecasting ✍️Kaoutar Ait Chaoui brnw.ch/21x1pxg. 🔗brnw.ch/21x1pxe #SolarPower #Photovoltaics #EnergyForecasting

📢 Editor’s Choice Paper in #Forecasting! 📖 Deep Learning-Based Multi-Source Precipitation Forecasting in Arid Regions Using Different Optimizations: A Case Study from Konya, Turkey ✍️ V. Demir 🔗 brnw.ch/21x1nCd #DeepLearning #WeatherForecasting #AI #AridRegions

📢 Editor’s Choice Paper in #Forecasting! 📖 Identification of Investment-Ready SMEs: A Machine Learning Framework to Enhance Equity Access and Economic Growth ✍️ Periklis Gogas et al. 🔗 brnw.ch/21x1nCb #MachineLearning #SMEs #EconomicGrowth #EquityAccess #AI

📢 Editor’s Choice Paper in #Forecasting! 📖 Probabilistic Demand Forecasting in the Southeast Region of the Mexican Power System Using Machine Learning Methods ✍️ I. I. B. Lara et al. 🔗 brnw.ch/21x1lSZ #MachineLearning #EnergyForecasting #PowerSystems #AI

📢 Editor’s Choice Paper in #Forecasting! 📖 A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets ✍️ Parul Dubey et al. 🔗 brnw.ch/21x1lNW #AI #MachineLearning #FinancialFraud #KnowledgeTransfer

📢 Editor’s Choice Paper in #Forecasting! 📖 Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning ✍️ K. H. Baesmat et al. 🔗 brnw.ch/21x1iqX #EnergyForecasting #MachineLearning #AI

📢 Editor’s Choice Paper in #Forecasting! 📖 Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data ✍️ Yitong Bi et al. 🔗 brnw.ch/21x1iqj #Aerospace #TimeSeries #MachineLearning #AI #Innovation

📢 Editor’s Choice Paper in #Forecasting! 📖 Exchange Rates, Supply Chain Activity/Disruption Effects, and Exports ✍️ Simiso Msomi and Paul-Francios Muzindutsi 🔗 Read the full article here: brnw.ch/21x1gNQ #Forecasting #Economics #SupplyChain #Exports

📢 Registration is open for the 1st International Online Conference on Forecasting (IOCFC 2026)! Join us on 21–22 September 2026 to explore the latest developments in forecasting. 🔗 brnw.ch/21x1gDs #IOCFC2026 #Forecasting #Conference #DataScience

📢 Editor’s Choice Paper in #Forecasting! 📖 Smarter Chains, Safer Medicines: From Predictive Failures to Algorithmic Fixes in Global Pharmaceutical Logistics ✍️ Kathleen Marshall Park et al. 🔗 brnw.ch/21x1eXf #Logistics #HealthcareInnovation #Predictive

📢 Editor’s Choice Paper! 📖 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 ☀️📊 🔗 brnw.ch/21x1eWw

📢 Editor’s Choice Paper in #Forecasting! 📖 A New Loss Function for Enhancing Peak Prediction in Time Series Data with High Variability ✍️ Mahan Hajiabbasi Somehsaraie et al. 🔗brnw.ch/21x1cUX #TimeSeries #MachineLearning #DataScience #Analytics

📢 Editor’s Choice Paper in #Forecasting! 📖 Non-Negative Forecast Reconciliation: Optimal Methods and Operational Solutions ✍️ Daniele Girolimetto 🔗 Read the full article here: brnw.ch/21x1cM5 #DataScience #OperationsResearch #Analytics #Research

📢 Editor’s Choice Paper in #Forecasting! 📖 From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting ✍️ Zhicong Song et al. 🔗 brnw.ch/21x1aPE #Finance #TimeSeries #Transformers #FinTech

📢 Editor’s Choice Paper in #Forecasting! 📖 Enhancing Policy Insights: Machine Learning-Based Forecasting of Euro Area Inflation HICP and Subcomponents ✍️L. Vancsura, T. Tatay and T. Bareith 🔗brnw.ch/21x1aPa #MachineLearning #Inflation #Economics #Finance #EuroArea