Feature Papers of Forecasting 2021
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...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Basel, Switzerland :
MDPI - Multidisciplinary Digital Publishing Institute
2022.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746863706719 |
Tabla de Contenidos:
- 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.
