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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids

Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the h...

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Bibliographic Details
Main Author: Simões, Marcelo Godoy
Other Authors: Paredes, Helmo Kelis Morales
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Particle Swarm Optimization
Machine Learning
Droop Curve
Automatic Generation Control
Back Propagation Algorithm
Linear Active Disturbance Rejection Control
Data Envelopment Analysis (dea)
Fuzzy Theory
Multilevel Current Source Inverter
Renewable Energy
Adaptive Neuro-fuzzy Inference System
Motor Drives
Frequency Regulation
Current Balancing Algorithm
Nilm
Energy Internet
Condition Assessment
Multi-layer Perceptron
Deep Learning
Decision Optimization
Knowledge Embed
History Of Engineering And Technology / Bicssc
Asynchronous Motor
Fuzzy Iteration
Medium-voltage Applications
Deep Reinforcement Learning
Fuzzy Neural Network Control
Cnn-lstm
State Machine
Fuzzy Analytical Network Process (fanp)
Meta-heuristic Algorithms
Distribution Network Equipment
Long-term Forecasting (ltf)
Phase-shifted Carrier Spwm
Level-shifted Spwm
Medium-term Forecasting (mtf)
Thermostatically Controlled Loads
Statcom
Smart Grid
Non-technical Losses
The Rate Of Change Of Frequency
Cognitive Meters
Very Short-term Forecasting (vstf)
Electric Load Forecasting
Fuzzy Logic
Error Differentiation
Semi-supervised Learning
Artificial Intelligence
Non-dominated Sorting Genetic Algorithm Ii
Short-term Forecasting (stf)
Load Disaggregation
Convolutional Neural Network
Electricity Forecasting
Vector Control
Reserve Power
Solar Power Plant
Multi Information Source
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the handling of inexact, imprecise, qualitative, fuzzy, and verbal information systematically and rigorously. A neuro-fuzzy controller generates or tunes the rules or membership functions of a fuzzy controller with an artificial neural network approach. There are new instantaneous power theories that may address several challenges in power quality. So, this book presents different applications of artificial intelligence techniques in advanced high-tech electronics, such as applications in power electronics, motor drives, renewable energy systems and smart grids.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (202 p.)
ISBN:books978-3-03943-335-3
9783039433346
9783039433353

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