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Efficiency and Optimization of Buildings Energy Consumption: Volume II

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 algorith...

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Формат: Online
Язык:английский
Опубликовано: MDPI - Multidisciplinary Digital Publishing Institute 2023
Предметы:
ventilation
energy
COVID-19
procedure
building
ISO
energy consumption
building construction
Passivhaus
affordable housing
neural network
LSTM
MLP
thermal inertia
building performance
artificial intelligence
artificial neural network
demand-side management
evolutionary computing
non-intrusive appliance load monitoring
parallel computing
smart grid
smart house
cellular concrete
lightweight materials
thermal conductivity
electricity
dynamic simulation
housing
climate change
weather controlled central system
energy saving
thermal improved of buildings
new energy technologies
sustainable buildings
energy efficiency
heat loss coefficient
machine learning
XGBoost
SVR
load disaggregation
multi-scale
attention mechanism
residual network
energy savings
daylighting
photovoltaic system
EnergyPlus
Homer PRO
Net Zero Energy Buildings
solar radiation
support vector machine
heuristic algorithm
renewable energy
solar energy systems
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PH Physics
Online-ссылка:ONIX_20230202_9783036565088_127
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Итог: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.

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