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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Table of Contents:
- 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.