Retracted: Application of Data Mining Algorithm in Electric Power Marketing Inspection Forecast Analysis by International Transactions on Electrical Energy Systems

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Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption by A. M. Kumaritov, A. E. Dzgoev, D. K. Gasieva, E. N. Nartikoeva, O. R. Babochiev

“…Developed new and useful regression models are used to predict the power consumption. An experimental analysis of the quality and behavior of regression models in several methods of the operational forecasting of electricity consumption. …”
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SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer by Partha Ghosh, Subhashis Das, Subhankar Roy, Ankur Bhattacharjee, Agostino Cortesi, Soumya Sen

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Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

“…This manuscript explores an advanced approach to the analysis of power demand and energy consumption, focusing on anomaly detection and the characterization of consumption patterns in different energy consumer units in the state of Ceará, Brazil. …”
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Forecasting the Number of Visitors of the Museums and Ruins by Using Time Series Analysis: The Case of Turkey by Mustafa Agah Tekindal, Semanur Öztemiz

“…The aim of this research is to forecast the number of visitors to the museums and ruins until 2037 in Turkey. …”
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Forecast of COVID-19 progress considering the seasonal fluctuations by Mariya Kascha, Maksym Palienko, Roman Marchenko

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Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting by Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee

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Evaluation of Precipitation Forecast of System: Numerical Tools for Hurricane Forecast by José C. Fernández-Alvarez, Albenis Pérez-Alarcon, Alfo J. Batista-Leyva, Oscar Díaz-Rodríguez

“…A sample comprising nine systems formed in the North Atlantic basin from 2016 to 2018 is used, where the analysis begins 24 h before landfall. Several statistical indices characterising the abilities of the NTHF and climatology and persistence model for rainfalls (R-CLIPER) for forecasting rain as measured by the TRMM are calculated at 24, 48, and 72 h forecasts for each TC and averaged. …”
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An efficient secure predictive demand forecasting system using Ethereum virtual machine by Himani Saraswat, Mahesh Manchanda, Sanjay Jasola

“…A secured framework for the prediction of demand forecasting systems is proposed. Finally, the authors tried to validate and optimize the gas cost by using distinguished statistics and analysis.…”
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Forecasting the level of growth and development of root rots on Hordeum vulgare L. plants by D. Gentosh, L. Havryliuk, O. Bashta, D. Olifer, I. Artemchuk

“…Conclusions. The conducted analysis revealed that based on the average daily positive temperature, it is possible to reliably forecast the level of spread and development of spring barley root rots. …”
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Forecast of urban air pollution level by expertise by Elena O. Lazareva, Irina N. Lipovitskaya, Elena S. Andreeva, Yulia V. Yefimova

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Comparative Analysis of Perturbation Characteristics Between LBGM and ETKF Initial Perturbation Methods in Convection-Permitting Ensemble Forecasts by Jiajun Li, Chaohui Chen, Xiong Chen, Hongrang He, Yongqiang Jiang, Yanzhen Kang

“…Both methods showed increasing total moist energy with forecast lead time, displaying a bimodal structure dominated by kinetic energy in upper layers (300–100 hPa) and balanced kinetic energy and moist physics terms in lower layers (1000–700 hPa), with ETKF demonstrating larger growth rates. (4) Kinetic energy spectrum analysis indicated that ETKF exhibited significantly higher perturbation energy than LBGM in the 100–1000 km mesoscale range and superior small- to medium-scale perturbation characterization at the 6–60 km scales initially. …”
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Optimizing oil production forecasts in Iranian oil fields: a comprehensive analysis using ensemble learning techniques by Mohammad Ghodsi, Pouya Vaziri, Mahdi Kanaani, Behnam Sedaee

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GLOBAL FINANCIAL SYSTEM: RISKS AND FORECASTS by V. Ye. Khaustova, N. V. Demchenko, V. G. Kovalchuk, M. V. Volkova

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Forecasting consumption of electric energy by using wavelet transform by V. I. Skorokhodov, O. A. Lysenko, A. V. Simakov, S. A. Gorovoy

Subjects: “…short-term forecasting…”
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Leveraging Potentials of Local and Global Models for Water Demand Forecasting by Matthias Groß, Lukas Hans

Subjects: “…water demand forecasting…”
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Forecasting Shallot Prices in Indonesia Using News-Based Sentiment Indicators by Atikah Salsabila, Rani Nooraeni

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Method of Load Forecasting in Microgrid Based on Differential Expansion of Small Sample Data by Wei JIA, Yuchun HUANG

Subjects: “…load forecasting…”
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Forecast of the Impact of the Railway Container Transportation Market on the GDP of the Russian Federation by Ch. V. Astvatsaturova, N. A. Kazakova

Subjects: “…forecast…”
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COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS by Aleytha Ilahnugrah Kurnadipare, Sri Amaliya, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

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