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...
-д хадгалсан:
| Формат: | Online |
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| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20221117_9783036555720_94 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869529063513653248 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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 |
| format | Online |
| id | doab-20.500.12854ir-93837 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-938372024-04-11T15:11:06Z Feature Papers of Forecasting 2021 Leva, Sonia renewable energy sources load forecasting frequency regulation artificial neural network model predictive control building energy management forecast neural network SCADA user comfort tobacco endgame policy simulation model tobacco tax revenue information combination uncertainty theta temporal aggregation bagging sub-seasonal series power outages machine learning thunderstorms numerical weather prediction battery energy storage system battery sizing photovoltaic power production performance ratio electrical load decision tree k-means clustering load curve unevenly spaced time series long short-term memory (LSTM) back-propagation neural network (BPNN) water consumption Holt method subsampling bootstrapped harmony search algorithm forecasting ARCH-GARCH model-free aggregated forecasting deep learning Loop Current ocean current forecasting LSTM ocean measurements COVID-19 probabilistic graphical models interpretable machine learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology 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 2022-11-17T16:27:10Z 2022-11-17T16:27:10Z 2022 book ONIX_20221117_9783036555720_94 9783036555720 9783036555713 https://directory.doabooks.org/handle/20.500.12854/93837 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6266 https://mdpi.com/books/pdfview/book/6266 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5572-0 10.3390/books978-3-0365-5572-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036555720 9783036555713 196 Basel open access |
| spellingShingle | renewable energy sources load forecasting frequency regulation artificial neural network model predictive control building energy management forecast neural network SCADA user comfort tobacco endgame policy simulation model tobacco tax revenue information combination uncertainty theta temporal aggregation bagging sub-seasonal series power outages machine learning thunderstorms numerical weather prediction battery energy storage system battery sizing photovoltaic power production performance ratio electrical load decision tree k-means clustering load curve unevenly spaced time series long short-term memory (LSTM) back-propagation neural network (BPNN) water consumption Holt method subsampling bootstrapped harmony search algorithm forecasting ARCH-GARCH model-free aggregated forecasting deep learning Loop Current ocean current forecasting LSTM ocean measurements COVID-19 probabilistic graphical models interpretable machine learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Feature Papers of Forecasting 2021 |
| title | Feature Papers of Forecasting 2021 |
| title_full | Feature Papers of Forecasting 2021 |
| title_fullStr | Feature Papers of Forecasting 2021 |
| title_full_unstemmed | Feature Papers of Forecasting 2021 |
| title_short | Feature Papers of Forecasting 2021 |
| title_sort | feature papers of forecasting 2021 |
| topic | renewable energy sources load forecasting frequency regulation artificial neural network model predictive control building energy management forecast neural network SCADA user comfort tobacco endgame policy simulation model tobacco tax revenue information combination uncertainty theta temporal aggregation bagging sub-seasonal series power outages machine learning thunderstorms numerical weather prediction battery energy storage system battery sizing photovoltaic power production performance ratio electrical load decision tree k-means clustering load curve unevenly spaced time series long short-term memory (LSTM) back-propagation neural network (BPNN) water consumption Holt method subsampling bootstrapped harmony search algorithm forecasting ARCH-GARCH model-free aggregated forecasting deep learning Loop Current ocean current forecasting LSTM ocean measurements COVID-19 probabilistic graphical models interpretable machine learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| topic_facet | renewable energy sources load forecasting frequency regulation artificial neural network model predictive control building energy management forecast neural network SCADA user comfort tobacco endgame policy simulation model tobacco tax revenue information combination uncertainty theta temporal aggregation bagging sub-seasonal series power outages machine learning thunderstorms numerical weather prediction battery energy storage system battery sizing photovoltaic power production performance ratio electrical load decision tree k-means clustering load curve unevenly spaced time series long short-term memory (LSTM) back-propagation neural network (BPNN) water consumption Holt method subsampling bootstrapped harmony search algorithm forecasting ARCH-GARCH model-free aggregated forecasting deep learning Loop Current ocean current forecasting LSTM ocean measurements COVID-19 probabilistic graphical models interpretable machine learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| url | ONIX_20221117_9783036555720_94 |