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Feature Papers of Forecasting 2021

This book focuses on fundamental and applied research on forecasting methods and analyses on how forecasting can affect a great number of fields, spanning from Computer Science, Engineering, and Economics and Business to natural sciences. Forecasting applications are increasingly important because t...

Szczegółowa specyfikacja

Zapisane w:
Format: Online
Język:angielski
Wydane: MDPI - Multidisciplinary Digital Publishing Institute 2022
Hasła przedmiotowe:
renewable energy sources
load forecasting
frequency regulation
artificial neural network
model predictive control
building energy management
forecast
neural network
SCADA
user comfort
tobacco endgame
policy
simulation model
tobacco tax revenue
information
combination
uncertainty
theta
temporal aggregation
bagging
sub-seasonal series
power outages
machine learning
thunderstorms
numerical weather prediction
battery energy storage system
battery sizing
photovoltaic power production
performance ratio
electrical load
decision tree
k-means clustering
load curve
unevenly spaced time series
long short-term memory (LSTM)
back-propagation neural network (BPNN)
water consumption
Holt method
subsampling bootstrapped
harmony search algorithm
forecasting
ARCH-GARCH
model-free
aggregated forecasting
deep learning
Loop Current
ocean current forecasting
LSTM
ocean measurements
COVID-19
probabilistic graphical models
interpretable machine learning
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
Dostęp online:ONIX_20221117_9783036555720_94
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Streszczenie:This book focuses on fundamental and applied research on forecasting methods and analyses on how forecasting can affect a great number of fields, spanning from Computer Science, Engineering, and Economics and Business to natural sciences. Forecasting applications are increasingly important because they allow for improving decision-making processes by providing useful insights about the future. Scientific research is giving unprecedented attention to forecasting applications, with a continuously growing number of articles about novel forecast approaches being published

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