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Local regression-based short-term load forecasting
Rastko Zivanovic
Research output
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Contribution to journal
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Article
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peer-review
13
Citations (Scopus)
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Dive into the research topics of 'Local regression-based short-term load forecasting'. Together they form a unique fingerprint.
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Keyphrases
Regression-based Method
100%
Local Regression
100%
Smoothing Parameter
100%
Short-term Load Forecasting
100%
Local Approximation
100%
Data Mining Techniques
50%
Taylor Expansion
50%
Window Size
50%
Historic Data
50%
Load Data
50%
Load Model
50%
Functional Relationship
50%
Local Fitting
50%
Polynomial Degree
50%
Affecting Factors
50%
M-estimator
50%
Load Sequence
50%
Serial Correlation
50%
Local Polynomial Regression
50%
Load Modeling
50%
Robust Location
50%
Modelling Requirements
50%
Location Estimator
50%
Regression Data
50%
Optimal Smoothing
50%
Mathematics
Variance
100%
Polynomial
100%
Approximates
100%
Polynomial Regression
100%
Taylor Expansion
100%
M-Estimator
100%
Data Mining Algorithm
100%
Location Estimator
100%
Serial Correlation
100%
Tradeoff
100%
Engineering
Load Forecasting
100%
Load Model
50%
Functional Relationship
50%
Taylor Expansion
50%