Enhancing Probabilistic Solar PV Forecasting: Integrating the NB-DST Method with Deterministic Models

Enhancing Probabilistic Solar PV Forecasting: Integrating the NB-DST Method with Deterministic Models

Accurate quantification of uncertainty in solar photovoltaic (PV) generation forecasts is imperative for the efficient and reliable operation of the power grid. In this paper, a data-driven non-parametric probabilistic method based on the Naïve Bayes (NB) classification algorithm and Dempster–Shafer...

Full description

Bibliographic Details
Main Authors: Tawsif Ahmad, Ning Zhou, Ziang Zhang, Wenyuan Tang
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Energies
Subjects:
continuous rank probability score
Dempster–Shafer theory
naïve Bayes classification
probabilistic solar power forecasting
uncertainty quantification
Online Access:https://www.mdpi.com/1996-1073/17/10/2392

Internet

https://www.mdpi.com/1996-1073/17/10/2392

Similar Items