Imatge de la portada

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...

Descripció completa

Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2022
Matèries:
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
Accés en línia:ONIX_20220506_9783036536538_298
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
Sumari: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.

Ítems similars