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AI Applications to Power Systems.
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Abstract
- Summary: 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.
- Subjects :
- History of engineering & technology
Technology: general issues
Markov decision process
artificial neural networks
automatic P2P energy trading
cellular computational networks
change detection
contingency
data analytics
data mining
deep Q-network
deep reinforcement learning
dynamic mode decomposition
event detection
feature extraction
filtering
fuzzy system
inter-area oscillations
load flow prediction
long short-term delayed reward
machine learning
machine-learning
manta ray foraging optimization algorithm
modal analysis
multi-objective function
n/a
optimal power flow
optimization
optimization techniques
power quality
radial networks
reduced order modeling
self-healing grid
signal processing
situation awareness
steady-state security assessment
total variation smoothing
Subjects
Details
- Language :
- English
- ISBN :
- 9783036536538
9783036536545
books978-3-0365-3654-5 - ISBNs :
- 9783036536538, 9783036536545, and 9783036536545
- Database :
- Jio Institute Digital Library OPAC
- Journal :
- AI Applications to Power Systems
- Notes :
- 004590, New Energy, Open Access star Unrestricted online access, Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/, English
- Publication Type :
- eBook
- Accession number :
- jio.Koha.JDL.240
- Document Type :
- Book; Electronic document