We analyse the time series of solar irradiance measurements using chaos theory. The False Nearest Neighbour method (FNN), one of the most common methods of chaotic analysis is used for the analysis. One year data from the weather station located at Nanyang Technological University (NTU) Singapore with a temporal resolution of 1 minute is employed for the study. The data is sampled at 60 minutes interval and 30 minutes interval for the analysis using the FNN method. Our experiments revealed that the optimum dimension required for solar irradiance is 4 for both samplings. This indicates that a minimum of 4 dimensions is required for embedding the data for the best representation of input. This study on obtaining the embedding dimension of solar irradiance measurement will greatly assist in fixing the number of previous data required for solar irradiance forecasting.
@article{arxiv.1912.07184,
title = {A Chaotic Approach on Solar Irradiance Forecasting},
author = {T. A. Fathima and Vasudevan Nedumpozhimana and Yee Hui Lee and Stefan Winkler and Soumyabrata Dev},
journal= {arXiv preprint arXiv:1912.07184},
year = {2019}
}
Comments
Published in Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019