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...

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Bibliographic Details
Other Authors: Leva, Sonia (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a 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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650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
650 7 |a Environmental science, engineering & technology  |2 bicssc 
653 |a renewable energy sources 
653 |a load forecasting 
653 |a frequency regulation 
653 |a artificial neural network 
653 |a model predictive control 
653 |a building energy management 
653 |a forecast 
653 |a neural network 
653 |a SCADA 
653 |a user comfort 
653 |a tobacco endgame 
653 |a policy 
653 |a simulation model 
653 |a tobacco tax revenue 
653 |a information 
653 |a combination 
653 |a uncertainty 
653 |a theta 
653 |a temporal aggregation 
653 |a bagging 
653 |a sub-seasonal series 
653 |a power outages 
653 |a machine learning 
653 |a thunderstorms 
653 |a numerical weather prediction 
653 |a battery energy storage system 
653 |a battery sizing 
653 |a photovoltaic power production 
653 |a performance ratio 
653 |a electrical load 
653 |a decision tree 
653 |a k-means clustering 
653 |a load curve 
653 |a unevenly spaced time series 
653 |a long short-term memory (LSTM) 
653 |a back-propagation neural network (BPNN) 
653 |a water consumption 
653 |a Holt method 
653 |a subsampling bootstrapped 
653 |a harmony search algorithm 
653 |a forecasting 
653 |a ARCH-GARCH 
653 |a model-free 
653 |a aggregated forecasting 
653 |a deep learning 
653 |a Loop Current 
653 |a ocean current forecasting 
653 |a LSTM 
653 |a ocean measurements 
653 |a COVID-19 
653 |a probabilistic graphical models 
653 |a interpretable machine learning 
653 |a n/a 
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