Applications of Probabilistic Forecasting in Smart Grids: A Review
This paper reviews the recent studies and works dealing with probabilistic forecasting models and their applications in smart grids. According to these studies, this paper tries to introduce a roadmap towards decision-making under uncertainty in a smart grid environment. In this way, it firstly disc...
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Format: | Article |
Language: | English |
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MDPI AG
2022-02-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/4/1823 |
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author | Hosna Khajeh Hannu Laaksonen |
author_facet | Hosna Khajeh Hannu Laaksonen |
author_sort | Hosna Khajeh |
collection | DOAJ |
description | This paper reviews the recent studies and works dealing with probabilistic forecasting models and their applications in smart grids. According to these studies, this paper tries to introduce a roadmap towards decision-making under uncertainty in a smart grid environment. In this way, it firstly discusses the common methods employed to predict the distribution of variables. Then, it reviews how the recent literature used these forecasting methods and for which uncertain parameters they wanted to obtain distributions. Unlike the existing reviews, this paper assesses several uncertain parameters for which probabilistic forecasting models have been developed. In the next stage, this paper provides an overview related to scenario generation of uncertain parameters using their distributions and how these scenarios are adopted for optimal decision-making. In this regard, this paper discusses three types of optimization problems aiming to capture uncertainties and reviews the related papers. Finally, we propose some future applications of probabilistic forecasting based on the flexibility challenges of power systems in the near future. |
first_indexed | 2024-03-09T22:42:38Z |
format | Article |
id | doaj.art-7983bd9658584546868ebcb5964433cc |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T22:42:38Z |
publishDate | 2022-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-7983bd9658584546868ebcb5964433cc2023-11-23T18:34:42ZengMDPI AGApplied Sciences2076-34172022-02-01124182310.3390/app12041823Applications of Probabilistic Forecasting in Smart Grids: A ReviewHosna Khajeh0Hannu Laaksonen1School of Technology and Innovations, Flexible Energy Resources, University of Vaasa, 65200 Vaasa, FinlandSchool of Technology and Innovations, Flexible Energy Resources, University of Vaasa, 65200 Vaasa, FinlandThis paper reviews the recent studies and works dealing with probabilistic forecasting models and their applications in smart grids. According to these studies, this paper tries to introduce a roadmap towards decision-making under uncertainty in a smart grid environment. In this way, it firstly discusses the common methods employed to predict the distribution of variables. Then, it reviews how the recent literature used these forecasting methods and for which uncertain parameters they wanted to obtain distributions. Unlike the existing reviews, this paper assesses several uncertain parameters for which probabilistic forecasting models have been developed. In the next stage, this paper provides an overview related to scenario generation of uncertain parameters using their distributions and how these scenarios are adopted for optimal decision-making. In this regard, this paper discusses three types of optimization problems aiming to capture uncertainties and reviews the related papers. Finally, we propose some future applications of probabilistic forecasting based on the flexibility challenges of power systems in the near future.https://www.mdpi.com/2076-3417/12/4/1823probabilistic forecastingsmart gridsdecision making under uncertaintyrenewable generationstochastic programming |
spellingShingle | Hosna Khajeh Hannu Laaksonen Applications of Probabilistic Forecasting in Smart Grids: A Review Applied Sciences probabilistic forecasting smart grids decision making under uncertainty renewable generation stochastic programming |
title | Applications of Probabilistic Forecasting in Smart Grids: A Review |
title_full | Applications of Probabilistic Forecasting in Smart Grids: A Review |
title_fullStr | Applications of Probabilistic Forecasting in Smart Grids: A Review |
title_full_unstemmed | Applications of Probabilistic Forecasting in Smart Grids: A Review |
title_short | Applications of Probabilistic Forecasting in Smart Grids: A Review |
title_sort | applications of probabilistic forecasting in smart grids a review |
topic | probabilistic forecasting smart grids decision making under uncertainty renewable generation stochastic programming |
url | https://www.mdpi.com/2076-3417/12/4/1823 |
work_keys_str_mv | AT hosnakhajeh applicationsofprobabilisticforecastinginsmartgridsareview AT hannulaaksonen applicationsofprobabilisticforecastinginsmartgridsareview |