The intermittent nature of solar PV power output requires forecasting to integrate it into the power grid effectively.

There are three types of solar PV generation forecasting based on time horizon, namely, (1) short-term (one hour up to a week), (2) medium-term (more than a week up to a month), and (3) long-term forecasting (more than a month up to a year).

Project SINAG aims to develop a locally adapted forecasting model that will realistically and accurately predict the output power of solar PV installations in the Philippines. SINAG utilizes hour and day-ahead (short-term) forecasting to enhance spot market operations and aid in scheduling priority resource dispatch.

Reference:

Das, U. K., Tey, K. S., Seyedmahmoudian, M., Mekhilef, S., Idris, M. Y. I., Van Deventer, W., Horan, B., & Stojcevski, A. (2018). Forecasting of photovoltaic power generation and model optimization: A review. Renewable and Sustainable Energy Reviews, 81, 912–928. https://doi.org/10.1016/j.rser.2017.08.017