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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Miltiadis D. Lytras and Kwok Tai Chui
2020
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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.
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Keywords
- ambient assisted living
- artificial intelligence
- artificial neural network
- Artificial Neural Networks
- CNN
- Computational intelligence
- conditional random fields
- decision tree
- deep learning
- demand response
- demand side management
- distributed genetic algorithm
- drill-in fluid
- ELR
- energy
- energy disaggregation
- energy efficient coverage
- energy management
- ERELM
- Faster R-CNN
- feature extraction
- Forecasting
- genetic algorithm
- home energy management
- home energy management systems
- insulator
- Internet of Things
- Jetson TX2
- load
- load disaggregation
- LR
- LSTM
- Machine learning
- Marsh funnel
- MCP39F511
- mud rheology
- multiple kernel learning
- NILM
- non-intrusive load monitoring
- nonintrusive load monitoring
- object detection
- optimization algorithms
- plastic viscosity
- Policy Making
- Price
- RELM
- RPN
- sandstone reservoirs
- Scheduling
- self-adaptive differential evolution algorithm
- sensor network
- Smart cities
- Smart city
- Smart grid
- Smart Grids
- smart metering
- smart villages
- static young’s modulus
- support vector machine
- Sustainable development
- transient signature
- Wireless sensor networks
- yield point
Links
DOI: 10.3390/books978-3-03928-890-8Editions
