1 code implementation • 26 Jun 2020 • Mayank Jain, Shilpa Manandhar, Yee Hui Lee, Stefan Winkler, Soumyabrata Dev
Long-Short-Term-Memory (LSTM) networks have been used extensively for time series forecasting in recent years due to their ability of learning patterns over different periods of time.
1 code implementation • 15 Mar 2019 • Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee, Stefan Winkler
Different empirical models have been developed for cloud detection.
1 code implementation • 19 Apr 2018 • Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee, Yu Song Meng
The total amount of solar irradiance falling on the earth's surface is an important area of study amongst the photo-voltaic (PV) engineers and remote sensing analysts.
1 code implementation • 24 Aug 2017 • Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee, Yu Song Meng
The role of clouds is manifold in understanding the various events in the atmosphere, and also in studying the radiative balance of the earth.
1 code implementation • 24 Aug 2017 • Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee, Yu Song Meng
It is important to study the various cloud properties, as it impacts the total solar irradiance falling on the earth's surface.
1 code implementation • 24 Aug 2017 • Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee, Stefan Winkler
The estimation of total solar irradiance falling on the earth's surface is important in the field of solar energy generation and forecasting.
1 code implementation • 15 Mar 2017 • Soumyabrata Dev, Shilpa Manandhar, Feng Yuan, Yee Hui Lee, Stefan Winkler
weather reporting, climate forecasting, and solar energy generation.
no code implementations • 21 Oct 2016 • Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee, Stefan Winkler
Ground-based sky cameras (popularly known as Whole Sky Imagers) are increasingly used now-a-days for continuous monitoring of the atmosphere.