TY - GEN
T1 - A chaotic approach on solar irradiance forecasting
AU - Fathima, T. A.
AU - Nedumpozhimana, Vasudevan
AU - Lee, Yee Hui
AU - Winkler, Stefan
AU - Dev, Soumyabrata
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85082490892
U2 - 10.1109/PIERS-Fall48861.2019.9021305
DO - 10.1109/PIERS-Fall48861.2019.9021305
M3 - Conference contribution
AN - SCOPUS:85082490892
T3 - 2019 Photonics and Electromagnetics Research Symposium - Fall, PIERS - Fall 2019 - Proceedings
SP - 2724
EP - 2728
BT - 2019 Photonics and Electromagnetics Research Symposium - Fall, PIERS - Fall 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Photonics and Electromagnetics Research Symposium - Fall, PIERS - Fall 2019
Y2 - 17 December 2019 through 20 December 2019
ER -