AI Applications to Power Systems
Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative...
Αποθηκεύτηκε σε:
| Μορφή: | Online |
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| Γλώσσα: | Αγγλικά |
| Έκδοση: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Θέματα: | |
| Διαθέσιμο Online: | ONIX_20220506_9783036536538_298 |
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| _version_ | 1869515177272016896 |
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| collection | Directory of Open Access Books |
| description | Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered. |
| format | Online |
| id | doab-20.500.12854ir-81232 |
| 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-812322024-04-09T23:15:55Z AI Applications to Power Systems Tjing Lie, Tek self-healing grid machine-learning feature extraction event detection optimization techniques manta ray foraging optimization algorithm multi-objective function radial networks optimal power flow automatic P2P energy trading Markov decision process deep reinforcement learning deep Q-network long short-term delayed reward inter-area oscillations modal analysis reduced order modeling dynamic mode decomposition machine learning artificial neural networks steady-state security assessment situation awareness cellular computational networks load flow prediction contingency fuzzy system change detection data analytics data mining filtering optimization power quality signal processing total variation smoothing 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 Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered. 2022-05-06T11:37:00Z 2022-05-06T11:37:00Z 2022 book ONIX_20220506_9783036536538_298 9783036536538 9783036536545 https://directory.doabooks.org/handle/20.500.12854/81232 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5264 https://mdpi.com/books/pdfview/book/5264 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3654-5 10.3390/books978-3-0365-3654-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036536538 9783036536545 156 Basel open access |
| spellingShingle | self-healing grid machine-learning feature extraction event detection optimization techniques manta ray foraging optimization algorithm multi-objective function radial networks optimal power flow automatic P2P energy trading Markov decision process deep reinforcement learning deep Q-network long short-term delayed reward inter-area oscillations modal analysis reduced order modeling dynamic mode decomposition machine learning artificial neural networks steady-state security assessment situation awareness cellular computational networks load flow prediction contingency fuzzy system change detection data analytics data mining filtering optimization power quality signal processing total variation smoothing 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 AI Applications to Power Systems |
| title | AI Applications to Power Systems |
| title_full | AI Applications to Power Systems |
| title_fullStr | AI Applications to Power Systems |
| title_full_unstemmed | AI Applications to Power Systems |
| title_short | AI Applications to Power Systems |
| title_sort | ai applications to power systems |
| topic | self-healing grid machine-learning feature extraction event detection optimization techniques manta ray foraging optimization algorithm multi-objective function radial networks optimal power flow automatic P2P energy trading Markov decision process deep reinforcement learning deep Q-network long short-term delayed reward inter-area oscillations modal analysis reduced order modeling dynamic mode decomposition machine learning artificial neural networks steady-state security assessment situation awareness cellular computational networks load flow prediction contingency fuzzy system change detection data analytics data mining filtering optimization power quality signal processing total variation smoothing 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 |
| topic_facet | self-healing grid machine-learning feature extraction event detection optimization techniques manta ray foraging optimization algorithm multi-objective function radial networks optimal power flow automatic P2P energy trading Markov decision process deep reinforcement learning deep Q-network long short-term delayed reward inter-area oscillations modal analysis reduced order modeling dynamic mode decomposition machine learning artificial neural networks steady-state security assessment situation awareness cellular computational networks load flow prediction contingency fuzzy system change detection data analytics data mining filtering optimization power quality signal processing total variation smoothing 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 |
| url | ONIX_20220506_9783036536538_298 |