TY - GEN
T1 - Predicting solar irradiance in Singapore
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 - Solar irradiance is the primary input for all solar energy generation systems. The amount of available solar radiation over time under the local weather conditions helps to decide the optimal location, technology and size of a solar energy project. We study the behaviour of incident solar irradiance on the earth's surface using weather sensors. In this paper, we propose a time-series based technique to forecast the solar irradiance values for shorter lead times of upto 15 minutes. Our experiments are conducted in the tropical region viz. Singapore, which receives a large amount of solar irradiance throughout the year. We benchmark our method with two common forecasting techniques, namely persistence model and average model, and we obtain good prediction performance. We report a root mean square of 147 W/m2 for a lead time of 15 minutes.
AB - Solar irradiance is the primary input for all solar energy generation systems. The amount of available solar radiation over time under the local weather conditions helps to decide the optimal location, technology and size of a solar energy project. We study the behaviour of incident solar irradiance on the earth's surface using weather sensors. In this paper, we propose a time-series based technique to forecast the solar irradiance values for shorter lead times of upto 15 minutes. Our experiments are conducted in the tropical region viz. Singapore, which receives a large amount of solar irradiance throughout the year. We benchmark our method with two common forecasting techniques, namely persistence model and average model, and we obtain good prediction performance. We report a root mean square of 147 W/m2 for a lead time of 15 minutes.
UR - https://www.scopus.com/pages/publications/85082458917
U2 - 10.1109/PIERS-Fall48861.2019.9021313
DO - 10.1109/PIERS-Fall48861.2019.9021313
M3 - Conference contribution
AN - SCOPUS:85082458917
T3 - 2019 Photonics and Electromagnetics Research Symposium - Fall, PIERS - Fall 2019 - Proceedings
SP - 3164
EP - 3167
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 -