Explore
Efficiency and Optimization of Buildings Energy Consumption: Volume II
0 Ungluers have
Faved this Work
Login to Fave
This reprint, as a continuation of a previous Special Issue entitled “Efficiency and Optimization of Buildings Energy Consumption”, gives an up-to-date overview of new technologies based on Machine Learning (ML) and Internet of Things (IoT) procedures to improve the mathematical approach of algorithms that allow control systems to be improved with the aim of reducing housing sector energy consumption.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 34 times via unglue.it ebook links.
- 34 - pdf (CC BY) at Unglue.it.
Keywords
- affordable housing
- artificial intelligence
- artificial neural network
- attention mechanism
- Building
- building construction
- Building performance
- cellular concrete
- Climate Change
- COVID-19
- daylighting
- demand-side management
- dynamic simulation
- Electricity
- energy
- Energy consumption
- Energy Efficiency
- energy saving
- energy savings
- EnergyPlus
- evolutionary computing
- heat loss coefficient
- heuristic algorithm
- HOMER Pro
- Housing
- ISO
- lightweight materials
- load disaggregation
- LSTM
- Machine learning
- Mathematics & science
- MLP
- multi-scale
- n/a
- Net Zero Energy Buildings
- Neural Network
- new energy technologies
- non-intrusive appliance load monitoring
- parallel computing
- passivhaus
- photovoltaic system
- Physics
- procedure
- Reference, information & interdisciplinary subjects
- renewable energy
- Research & information: general
- residual network
- Smart grid
- smart house
- solar energy systems
- Solar radiation
- support vector machine
- Sustainable buildings
- SVR
- thermal conductivity
- thermal improved of buildings
- thermal inertia
- Ventilation
- weather controlled central system
- XGBoost
Links
DOI: 10.3390/books978-3-0365-6507-1Editions