Kansikuva

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such...

Täydet tiedot

Tallennettuna:
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2022
Aiheet:
deep learning
energy demand
temporal convolutional network
time series forecasting
time series
forecasting
exponential smoothing
electricity demand
residential building
energy efficiency
clustering
decision tree
time-series forecasting
evolutionary computation
neuroevolution
photovoltaic power plant
short-term forecasting
data processing
data filtration
k-nearest neighbors
regression
autoregression
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Linkit:ONIX_20220111_9783036508627_221
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia: Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Samankaltaisia teoksia