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Feature Papers of Forecasting
| Feature Papers of Forecasting |
| Autore | Leva Sonia |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (186 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
(REG) ARIMA
baseline prediction Bates-Granger weights behind-the-meter PV bias correction bus service bus travel time business to business sales prediction cost estimating costumer relation management COVID-19 deep learning Direct Normal Irradiance (DNI) DNI attenuation Index (DAI) ETS evaluation forecast forecasting Google Trends indices Himalayan region Hodrick-Prescott trend IFS/ECMWF intermittent rivers learning curve logistic map machine learning meteorological radar data microsoft azure machine-learning service n/a nowcast optical flow persistence predictive modeling production cost PV output power estimation PV-load decoupling SARS-CoV-2 semi-empirical model snow-fed rivers streamflow forecast verification sustainable urban mobility plan time series transit systems travel time forecasting uniform weights |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557390403321 |
Leva Sonia
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Feature Papers of Forecasting 2021 / / Sonia Leva
| Feature Papers of Forecasting 2021 / / Sonia Leva |
| Autore | Leva Sonia |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022 |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina | 004 |
| Soggetto topico |
Computer science
Computer engineering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910674386203321 |
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Leva Sonia
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| Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||