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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Leva, Sonia, author. Feature Papers of Forecasting 2021 / Sonia Leva. Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2022. 1 online resource (196 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on publisher supplied metadata and other sources. 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. In English. 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. Computer science. 3-0365-5572-2 |
language |
English |
format |
eBook |
author |
Leva, Sonia, |
spellingShingle |
Leva, Sonia, Feature Papers of Forecasting 2021 / 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. |
author_facet |
Leva, Sonia, |
author_variant |
s l sl |
author_role |
VerfasserIn |
author_sort |
Leva, Sonia, |
title |
Feature Papers of Forecasting 2021 / |
title_full |
Feature Papers of Forecasting 2021 / Sonia Leva. |
title_fullStr |
Feature Papers of Forecasting 2021 / Sonia Leva. |
title_full_unstemmed |
Feature Papers of Forecasting 2021 / Sonia Leva. |
title_auth |
Feature Papers of Forecasting 2021 / |
title_new |
Feature Papers of Forecasting 2021 / |
title_sort |
feature papers of forecasting 2021 / |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute, |
publishDate |
2022 |
physical |
1 online resource (196 pages) |
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. |
isbn |
3-0365-5572-2 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276 L483 42022 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
004 - Data processing & computer science |
dewey-full |
004 |
dewey-sort |
14 |
dewey-raw |
004 |
dewey-search |
004 |
work_keys_str_mv |
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Feature Papers of Forecasting 2021 / |
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