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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...

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Bibliographic Details
Main Author: Tjing Lie, Tek
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Steady-state Security Assessment
Machine Learning
Data Analytics
Event Detection
Fuzzy System
Data Mining
Multi-objective Function
Situation Awareness
Filtering
Load Flow Prediction
Dynamic Mode Decomposition
N/a
Inter-area Oscillations
Cellular Computational Networks
Reduced Order Modeling
History Of Engineering & Technology / Bicssc
Technology: General Issues / Bicssc
Long Short-term Delayed Reward
Feature Extraction
Deep Reinforcement Learning
Automatic P2p Energy Trading
Optimal Power Flow
Machine-learning
Markov Decision Process
Manta Ray Foraging Optimization Algorithm
Power Quality
Radial Networks
Signal Processing
Contingency
Optimization Techniques
Deep Q-network
Modal Analysis
Total Variation Smoothing
Artificial Neural Networks
Optimization
Change Detection
Self-healing Grid
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (156 p.)
ISBN:9783036536538
9783036536545
books978-3-0365-3654-5

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