Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

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...

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Bibliographic Details
Other Authors: Gómez Vela, Francisco A. (Editor), García-Torres, Miguel (Editor), Divina, Federico (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
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
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