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Forecasting methods in energy planning models
Kumar Biswajit Debnath
*
, Monjur Mourshed
*
Corresponding author for this work
Institute for Sustainable Building Design
School of Energy, Geoscience, Infrastructure and Society
Research output
:
Contribution to journal
›
Review article
›
peer-review
296
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Citations (Scopus)
2860
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Economics, Econometrics and Finance
ARMA Model
100%
Artificial Intelligence
100%
Energy Demand
100%
Energy Sector
50%
Energy Supply
50%
Genetic Algorithm
50%
Industrialized Countries
50%
Machine Learning
50%
Sector Development
50%
Statistical Method
50%
INIS
accuracy
30%
availability
10%
china
10%
data
20%
developed countries
10%
energy
100%
energy demand
20%
energy supplies
10%
exercise
10%
forecasting
100%
fuzzy logic
10%
genetic algorithms
10%
hybrids
10%
machine learning
10%
neural networks
10%
optimization
10%
particles
10%
performance
10%
planning
100%
policy
20%
prediction
20%
range
20%
reviews
10%
tools
10%
vectors
10%
yields
10%
Psychology
Artificial Intelligence
100%
Autoregressive Integrated Moving Average
100%
Critical Review
50%
Hybrid Method
50%
Linear Regression
50%
Neural Network
50%
Statistical Method
50%
Systematic Review
50%
Agricultural and Biological Sciences
Artificial Intelligence
100%
Fuzzy Logic
50%
Learning System
50%
Machine Learning
50%
Neural Network
50%
Support Vector Machine
50%
Swarms
50%
Engineering
Applicability
14%
Artificial Intelligence
28%
Artificial Neural Network
14%
Energy Planning
100%
Energy Supply
14%
Genetic Algorithm
14%
Great Variability
14%
Hybrid Method
14%
Learning System
14%
Load Forecasting
14%
Moving Average
28%
Particle Swarm Optimization
14%
Policy Objective
14%
Source Data
14%
Support Vector Machine
14%