Cyclostationary Forecasting MATLAB — BLEND & CLIPER Operators
Cyclostationary Forecasting MATLAB — BLEND & CLIPER Operators
MATLAB implementation of analytical training-free forecasting operators for cyclostationary processes. The BLEND and CLIPER operator families optimally combine simple and cyclic persistence through a closed-form coefficient derived from MSE minimization under periodic non-stationarity. Applied to solar irradiance, wind speed and electrical load forecasting.
If you use this software, please cite it as below.
- King Fahd University of Petroleum and Minerals Saudi Arabia
- Q University Kazakhstan
- University of Kragujevac Serbia
- Centre Observation, Impacts, Énergie France
MATLAB, analytical forecasting, solar irradiance, CLIPER operator, BLEND operator, renewable energy, energy forecasting, persistence forecasting, periodic non-stationarity, electrical load, time series, cyclostationary, wind speed
MATLAB, analytical forecasting, solar irradiance, CLIPER operator, BLEND operator, renewable energy, energy forecasting, persistence forecasting, periodic non-stationarity, electrical load, time series, cyclostationary, wind speed
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!