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Autore: | Leva Sonia |
Titolo: | Feature Papers of Forecasting 2021 / / Sonia Leva |
Pubblicazione: | Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022 |
Descrizione fisica: | 1 online resource (196 pages) |
Disciplina: | 004 |
Soggetto topico: | Computer science |
Computer engineering | |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Feature Papers of Forecasting 2021 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910674386203321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |