Solar and Wind Quantity 24 h—Series Prediction Using PDE-Modular Models Gradually Developed according to Spatial Pattern Similarity

Solar and Wind Quantity 24 h—Series Prediction Using PDE-Modular Models Gradually Developed according to Spatial Pattern Similarity

The design and implementation of efficient photovoltaic (PV) plants and wind farms require a precise analysis and definition of specifics in the region of interest. Reliable Artificial Intelligence (AI) models can recognize long-term spatial and temporal variability, including anomalies in solar and...

Full description

Bibliographic Details
Main Author: Ladislav Zjavka
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
spatial modeling
derivative training
similarity factor
Laplace transform
inverse PDE solution
polynomial conversion
Online Access:https://www.mdpi.com/1996-1073/16/3/1085

Internet

https://www.mdpi.com/1996-1073/16/3/1085

Similar Items