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...

Celý popis

Uloženo v:

Podrobná bibliografie
Další autoři:	Gómez Vela, Francisco A. (Editor), García-Torres, Miguel (Editor), Divina, Federico (Editor)
Médium:	Kapitola
Vydáno:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Témata:	Research & information: general Technology: general issues 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
On-line přístup:	Get Fullteks DOAB: description of the publication
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo otaguje tento záznam!

Buďte první, kdo okomentuje tento záznam!

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Podobné jednotky