Performance of weather research forecasting model for seasonal prediction of precipitation over Indonesian maritime continent

“…The Weather Research Forecasting (WRF) model used in this study produces overestimated predictions of precipitation intensity compared to satellite data. …”
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An In-Depth Look at Rising Temperatures: Forecasting with Advanced Time Series Models in Major US Regions by Kameron B. Kinast, Ernest Fokoué

“…In this study, we perform a comprehensive comparative analysis of four advanced time series forecasting models—Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS), Multilayer Perceptron (MLP), and Gaussian Processes (GP)—to assess changes in minimum and maximum temperatures across four key regions in the United States. …”
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Short-Term Electric Load Forecasting for an Industrial Plant Using Machine Learning-Based Algorithms by Oğuzhan Timur, Halil Yaşar Üstünel

“…The present analysis revolves around the creation of short-term electric load forecasting models for a large industrial plant operating in Adana, Turkey. …”
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A Forecasting Method for Provincial-level Energy Supply and Demand under Carbon Quota Constraint by Yan LI, Xin ZHAO, Wanlei XUE, Xiandong TAN, Zhifan LIU, Zhilin LIU

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Analysing and Forecasting the Energy Consumption of Healthcare Facilities in the Short and Medium Term. A Case Study by Ali Koç, Serap Ulusam Seçkiner

“…Finally, thanks to feature importance analysis, the most influential features under the hourly, daily, and monthly electrical and monthly natural gas prediction were identified. …”
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Deformation Forecasting of Surrounding Rock Mass Based on Correlation between Frequency and Fracture Scale of Microseismicity by Peiwei Xiao, Bo Qian, Peng Jiang, Nuwen Xu, Biao Li

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Short-Term Drought Forecast across Two Different Climates Using Machine Learning Models by Reza Piraei, Majid Niazkar, Fabiola Gangi, Gökçen Eryılmaz Türkkan, Seied Hosein Afzali

“…These findings were further validated through the confidence percentage analysis performed on all ML models in this study. …”
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MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting by Shaohan Li, Min Chen, Lu Yi, Qifeng Lu, Hao Yang

“…For a 6 h prediction duration, the corresponding reductions are 13.91%, 8.20%, and 6.95%, validating its superior performance in short-term wind speed forecasting. Furthermore, an analysis of variable impacts reveals that U10, V10, and T2M play dominant roles in wind speed prediction, while TP exhibits a relatively lower impact, aligning with the results of the correlation analysis. …”
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АNALYSIS OF CLINICAL AND EXPERIMENTAL FORECASTING OF INFLUENCE OF ERGONOMICS OF DENTISTS WORK ON THE RESULT OF ENDONTIC TREATMENT by R.I. Ratushniy, N. Goderdzi, M.Yu. Goncharuk-Khomyn, S.B. Kostenko, I.V. Penzelyk, A.S. Chobeі

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Beyond the Backbone: A Quantitative Review of Deep-Learning Architectures for Tropical Cyclone Track Forecasting by He Huang, Difei Deng, Liang Hu, Yawen Chen, Nan Sun

“…Our analysis also highlights several persistent challenges, such as long-term forecast degradation, limited physical integration, and generalization to extreme events, pointing toward future directions for developing more robust and operationally viable DL models for TC track forecasting. …”
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The usage of power system multi-model forecasting aided state estimation for cyber attack detection by I. A. Lukicheva, A. L. Kulikov

“…Cyberattack detection was implemented through innovative and residual analysis. The analysis of the proposed algorithm performance was carried out by simulation modeling using the example of a IEEE 30-bus system in Matlab.RESULTS. …”
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IntPort: An Intelligent Portfolio Construction Technique Based on Financial Forecasting by Statistical Average Method by Hasan M. Sami, Md Shah Jalal, Md Faisal Kabir, Mohammad Nurul Huda

“…In addition, it incorporates principal component analysis (PCA), linear discriminant analysis (LDA), and a statistical average method (SAM) to create additional features. …”
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Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

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Navigating Structural Shocks: Bayesian Dynamic Stochastic General Equilibrium Approaches to Forecasting Macroeconomic Stability by Dongxue Wang, Yugang He

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Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market by Nikolaos Koutantos, Maria Fotopoulou, Dimitrios Rakopoulos

“…This study investigates the use of automated machine learning to forecast the demand of electrical loads. A stochastic optimization algorithm minimizes the cost and risk of the traded asset across different markets using a generic framework for trading activities of load portfolios. …”
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An integrated land-use/transportation forecasting and planning model: A metropolitan planning support system by Ardeshir Anjomani

“…Although these models have the potential to become primary demographic forecasting and planning vehicles in metropolitan transportation planning for most large US urban regions, some gaps and improvements must be addressed.  …”
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Forecasting with a Bivariate Hysteretic Time Series Model Incorporating Asymmetric Volatility and Dynamic Correlations by Hong Thi Than

“…The accuracy of VaR forecasts is assessed through two standard backtesting procedures. …”
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Forecasting Hospitalization for Adult Asthma Patients in Emergency Departments Based on Multiple Environmental and Clinical Factors by Xi H, Zhang Y, Li W, Zhang C, Sun Y, Ji H, He Z, Chang C

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From Prediction to Explanation: Using Explainable AI to Understand Satellite-Based Riot Forecasting Models by Scott Warnke, Daniel Runfola

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Development of a Forecasting Framework Based on Advanced Machine Learning Algorithms for Greenhouse Gas Emissions by Seval Ene Yalçın

“…This paper provides a scenario-based approach for future forecasts of greenhouse gas emissions and a sector-based analysis of greenhouse gas emissions in the case country considering multiple input variables. …”
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