On the issue of forecasting in a present day company management

Subjects: “…financial forecasting…”
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Research on Flood Forecasting Based on Double-excess Model by HU Xinwei, ZHANG Yu, ZHU Xueping, ZHAO Xuehua

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Optimizing Models and Data Denoising Algorithms for Power Load Forecasting by Yanxia Li, Ilyosbek Numonov Rakhimjon Ugli, Yuldashev Izzatillo Hakimjon Ugli, Taeo Lee, Tae-Kook Kim

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Electricity Load Forecasting Method Based on the GRA-FEDformer Algorithm by Xin Jin, Tingzhe Pan, Heyang Yu, Zongyi Wang, Wangzhang Cao

Subjects: “…power load forecasting…”
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Evaluation of bankruptcy yields as a method of forecasting the financial and economic state of an enterprise by О.V. Shavurska

“…The main tasks of the analysis of bankruptcy diagnostics are determined. …”
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Wavelet-based forecasting of ARIMA time series - an empirical comparison of different methods by Stephan Schlueter, Carola Deuschle

Subjects: “…forecasting…”
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STATISTICAL ANALYSIS AND FORECASTS OF SOME FINANCIAL INDICATORS FROM THE AGRICULTURAL SECTOR IN ROMANIA USING THE ARIMA MODEL by Mirela Floriana GĂMAN, Ana-Maria Camelia POPESCU

“…In this paper, a statistical analysis of some financial indicators in Romania for the period 1991-2023 was made. …”

Practical aspects of forecasting the company’s financial performance by V. V. Kookueva, A. A. Aliev, R. I. Khavich

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FORECASTING AND EXPERIMENTAL DETERMINATION OF DESTRUCTION IMPURITIES AND IN THE PHARMACEUTICAL COMPOSITION OF THE HYPOTENSIVE ACTION by E. V. Kompantseva, A. V. Babyak, Y. V. Mudretsova, A. A. Glushko

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Analysing the potential of ChatGPT to support plant disease risk forecasting systems by Roberta Calone, Elisabetta Raparelli, Sofia Bajocco, Eugenio Rossi, Lorenzo Crecco, Danilo Morelli, Chiara Bassi, Rocchina Tiso, Riccardo Bugiani, Fabio Pietrangeli, Giovanna Cattaneo, Camilla Nigro, Marco Secondo Gerardi, Simone Bussotti, Angela Sanchioni, Danilo Tognetti, Mariangela Sandra, Irene De Lillo, Paolo Framarin, Sandra Di Ferdinando, Simone Bregaglio

“…This study explores the potential of two versions of the ChatGPT large language model (GPT-3.5 Turbo and GPT-4) in supporting plant disease risk forecasting through the translation of model-based predictions into advisory messages. …”
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Long-Term Hourly Ozone Forecasting via Time–Frequency Analysis of ICEEMDAN-Decomposed Components: A 36-Hour Forecast for a Site in Beijing by Taotao Lv, Yulu Yi, Zhuowen Zheng, Jie Yang, Siwei Li

“…However, few studies have been able to reliably provide long-term hourly ozone forecasts due to the complexity of ozone’s diurnal variations. …”
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Forecast of the Dynamics of the Number of Russian Banks Until 2025 by D. S. Rukavishnikov

Subjects: “…analysis…”
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MODELING REAL ESTATE MARKET: FORECASTING THE PRICE OF A SQUARE by Natalya V. Kontsevaya

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FORECASTING FUTURE PRODUCTION TREND OF DRAGON FRUIT IN REGION 10, PHILIPPINES by Joemar Dayham Javier

Subjects: “…agricultural forecasting…”
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MODELS OF SCENARIO FORECASTING OF ECONOMIC CRISES ON THE BASIS OF HYBRID APPROACH by V. M. Savinova, S. A. Yarushev

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Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting by Moiz Qureshi, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman, S. A. Atif Salar

Subjects: “…bitcoin prices forecasting…”
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Sentiment Analysis using Machine learning for forecasting Indian stock Trend: A brief Survey by A.S. Dash, U. Mishra

“…Due to new technical advances, the machine can think as a person-investor and express its reaction to readily available financial information. Forecasting models for the Indian stock market can be developed based on the analysis of these sentiments. …”
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Production Forecasting of Unruly Geoenergy Extraction Wells Using Gaussian Decline Curve Analysis by Ruud Weijermars

“…The derived Gaussian pressure transient (GPT) solutions can be practically formulated as a decline curve analysis (DCA) equation for history matching of historic well rates to then forecast the future well performance and estimate the remaining reserves. …”
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A comparative analysis of artificial neural network architectures for building energy consumption forecasting by Jihoon Moon, Sungwoo Park, Seungmin Rho, Eenjun Hwang

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Trends in the disease burden of cystic echinococcosis in China, 1990–2044 analysis and forecasting study by Jianping Li, Jingjing Wei

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