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Feature Papers of Forecasting 2021

Feature Papers of Forecasting 2021

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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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Keywords

  • aggregated forecasting
  • ARCH-GARCH
  • artificial neural network
  • back-propagation neural network (BPNN)
  • bagging
  • battery energy storage system
  • battery sizing
  • building energy management
  • combination
  • COVID-19
  • decision tree
  • deep learning
  • electrical load
  • Environmental science, engineering & technology
  • forecast
  • Forecasting
  • frequency regulation
  • harmony search algorithm
  • History of engineering & technology
  • Holt method
  • information
  • interpretable machine learning
  • K-means clustering
  • load curve
  • load forecasting
  • Long Short-Term Memory (LSTM)
  • Loop Current
  • LSTM
  • Machine learning
  • Model Predictive Control
  • model-free
  • n/a
  • Neural Network
  • numerical weather prediction
  • ocean current forecasting
  • ocean measurements
  • performance ratio
  • photovoltaic power production
  • policy
  • power outages
  • probabilistic graphical models
  • Renewable energy sources
  • SCADA
  • simulation model
  • sub-seasonal series
  • subsampling bootstrapped
  • Technology, engineering, agriculture
  • Technology: general issues
  • temporal aggregation
  • theta
  • Thunderstorms
  • tobacco endgame
  • tobacco tax revenue
  • uncertainty
  • unevenly spaced time series
  • user comfort
  • water consumption

Links

DOI: 10.3390/books978-3-0365-5572-0

Editions

edition cover

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