TY  - BOOK
AU  - Lytras, Miltiadis
AU  - Chui, Kwok Tai
AB  - Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.
DO  - 10.3390/books978-3-03928-890-8
ID  - OAPEN ID: 46125
KW  - artificial neural network
KW  - home energy management systems
KW  - conditional random fields
KW  - LR
KW  - ELR
KW  - energy disaggregation
KW  - artificial intelligence
KW  - genetic algorithm
KW  - decision tree
KW  - static young’s modulus
KW  - price
KW  - scheduling
KW  - self-adaptive differential evolution algorithm
KW  - Marsh funnel
KW  - energy
KW  - yield point
KW  - non-intrusive load monitoring
KW  - mud rheology
KW  - distributed genetic algorithm
KW  - MCP39F511
KW  - Jetson TX2
KW  - sustainable development
KW  - artificial neural networks
KW  - transient signature
KW  - load disaggregation
KW  - smart villages
KW  - ambient assisted living
KW  - smart cities
KW  - demand side management
KW  - smart city
KW  - CNN
KW  - wireless sensor networks
KW  - object detection
KW  - drill-in fluid
KW  - ERELM
KW  - sandstone reservoirs
KW  - RPN
KW  - deep learning
KW  - RELM
KW  - smart grids
KW  - multiple kernel learning
KW  - load
KW  - feature extraction
KW  - NILM
KW  - energy management
KW  - energy efficient coverage
KW  - insulator
KW  - Faster R-CNN
KW  - home energy management
KW  - smart grid
KW  - LSTM
KW  - smart metering
KW  - optimization algorithms
KW  - forecasting
KW  - plastic viscosity
KW  - machine learning
KW  - computational intelligence
KW  - policy making
KW  - support vector machine
KW  - internet of things
KW  - sensor network
KW  - nonintrusive load monitoring
KW  - demand response
L1  - https://mdpi.com/books/pdfview/book/2319
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/41352
PB  - MDPI - Multidisciplinary Digital Publishing Institute
PY  - 2020
SN  - 9783039288892
SN  - 9783039288908
TI  - Artificial Intelligence for Smart and Sustainable Energy Systems and Applicationsnull
ER  - 
