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

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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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HerausgeberIn:
Paredes, Helmo Kelis Morales
Sonstige:
Simões, Marcelo Godoy
Paredes, Helmo Kelis Morales
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (202 p.)
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id 993545784504498
ctrlnum (CKB)5400000000041010
(oapen)https://directory.doabooks.org/handle/20.500.12854/69213
(EXLCZ)995400000000041010
collection bib_alma
record_format marc
spelling Simões, Marcelo Godoy edt
Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (202 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
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.
English
History of engineering & technology bicssc
droop curve
frequency regulation
fuzzy logic
the rate of change of frequency
reserve power
smart grid
energy Internet
convolutional neural network
decision optimization
deep reinforcement learning
electric load forecasting
non-dominated sorting genetic algorithm II
multi-layer perceptron
adaptive neuro-fuzzy inference system
meta-heuristic algorithms
automatic generation control
fuzzy neural network control
thermostatically controlled loads
back propagation algorithm
particle swarm optimization
load disaggregation
artificial intelligence
cognitive meters
machine learning
state machine
NILM
non-technical losses
semi-supervised learning
knowledge embed
deep learning
distribution network equipment
condition assessment
multi information source
fuzzy iteration
current balancing algorithm
level-shifted SPWM
medium-voltage applications
multilevel current source inverter
motor drives
phase-shifted carrier SPWM
STATCOM
electricity forecasting
CNN–LSTM
very short-term forecasting (VSTF)
short-term forecasting (STF)
medium-term forecasting (MTF)
long-term forecasting (LTF)
asynchronous motor
linear active disturbance rejection control
error differentiation
vector control
renewable energy
solar power plant
Data Envelopment Analysis (DEA)
Fuzzy Analytical Network Process (FANP)
Fuzzy Theory
3-03943-334-2
3-03943-335-0
Paredes, Helmo Kelis Morales edt
Simões, Marcelo Godoy oth
Paredes, Helmo Kelis Morales oth
language English
format eBook
author2 Paredes, Helmo Kelis Morales
Simões, Marcelo Godoy
Paredes, Helmo Kelis Morales
author_facet Paredes, Helmo Kelis Morales
Simões, Marcelo Godoy
Paredes, Helmo Kelis Morales
author2_variant m g s mg mgs
h k m p hkm hkmp
author2_role HerausgeberIn
Sonstige
Sonstige
title Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
spellingShingle Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
title_full Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
title_fullStr Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
title_full_unstemmed Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
title_auth Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
title_new Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
title_sort applied neural networks and fuzzy logic in power electronics, motor drives, renewable energy systems and smart grids
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (202 p.)
isbn 3-03943-334-2
3-03943-335-0
illustrated Not Illustrated
work_keys_str_mv AT simoesmarcelogodoy appliedneuralnetworksandfuzzylogicinpowerelectronicsmotordrivesrenewableenergysystemsandsmartgrids
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(EXLCZ)995400000000041010
carrierType_str_mv cr
is_hierarchy_title Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
author2_original_writing_str_mv noLinkedField
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