Feature Papers of Forecasting 2021 / / Sonia Leva.
This book focuses on fundamental and applied research on forecasting methods and analyses on how forecasting can affect a great number of fields, spanning from Computer Science, Engineering, and Economics and Business to natural sciences. Forecasting applications are increasingly important because t...
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Place / Publishing House: | Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2022. |
Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 online resource (196 pages) |
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100 | 1 | |a Leva, Sonia, |e author. | |
245 | 1 | 0 | |a Feature Papers of Forecasting 2021 / |c Sonia Leva. |
264 | 1 | |a Basel : |b MDPI - Multidisciplinary Digital Publishing Institute, |c 2022. | |
300 | |a 1 online resource (196 pages) | ||
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588 | |a Description based on publisher supplied metadata and other sources. | ||
520 | |a This book focuses on fundamental and applied research on forecasting methods and analyses on how forecasting can affect a great number of fields, spanning from Computer Science, Engineering, and Economics and Business to natural sciences. Forecasting applications are increasingly important because they allow for improving decision-making processes by providing useful insights about the future. Scientific research is giving unprecedented attention to forecasting applications, with a continuously growing number of articles about novel forecast approaches being published. | ||
546 | |a In English. | ||
505 | 0 | |a About the Editor -- Editorial for Special Issue: "Feature Papers of Forecasting 2021" -- SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting -- A Deep Learning Model for Forecasting Velocity Structures of the Loop Current System in the Gulf of Mexico -- Model-Free Time-Aggregated Predictions for Econometric Datasets -- Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm -- A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning -- Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods -- Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System -- Tobacco Endgame Simulation Modelling: Assessing the Impact of Policy Changes on Smoking revalence in 2035 -- Load Forecasting in an Office Building with Different Data Structure and Learning Parameters -- A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency egulation Services -- The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting. | |
650 | 0 | |a Computer science. | |
776 | |z 3-0365-5572-2 | ||
906 | |a BOOK | ||
ADM | |b 2023-04-15 12:03:02 Europe/Vienna |f system |c marc21 |a 2022-11-14 04:01:55 Europe/Vienna |g false | ||
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