Regression and Generalized Additive Model to Enhance the Performance of Photovoltaic Power Ensemble Predictors

Regression and Generalized Additive Model to Enhance the Performance of Photovoltaic Power Ensemble Predictors

Photovoltaic (PV) power prediction has a constantly evolving solutions landscape with a myriad of data-driven techniques. Each technique leverages a self-adaptive algorithm that must retrain in intervals, be it each day, week, or season, to avoid the model generalizing poorly because of overfitting,...

Full description

Bibliographic Details
Main Authors: Aditya Sundararajan, Ben Ollis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Feature enhancement
nonparametric regression
ensemble learning
generalized additive model
concept drift
photovoltaic power prediction
Online Access:https://ieeexplore.ieee.org/document/9508435/

Internet

https://ieeexplore.ieee.org/document/9508435/

Similar Items