Very Short-Term Solar Irradiance Forecasting using Multilayered Long-Short Term Memory

GS Thirunavukkarasu, AR Kalair… - … on Smart and …, 2022 - ieeexplore.ieee.org
The intermittent nature of the resources (inputs: sunlight) results in intermittent energy output
(power) from the photovoltaic energy systems. Therefore, accurate prediction of the
photovoltaic output is a key area of research across the globe. Direct normal irradiance DNI)
forecasts are essential for the planning of a distributed energy DE) powered facility or
concentrated solar power systems. Some areas are more prone to have random weather
conditions, one such city is Melbourne, Australia. This makes the forecasting a challenging …

Short-term solar irradiance forecasting using long short term memory variants

AD Bhattacharjee, AR Chowdhury - Proceedings of International …, 2022 - Springer
Efficient solar irradiance forecasting influences consistent operation and better planning to
yield revenue-generative means for photovoltaic (PV) installer. Solar irradiance-based
applications and their functional ability profoundly reliant on irregular variations of solar
irradiance. Accurate prediction of solar power output needs precise forecasting of one of the
critical factors, solar irradiance. In this work, variants of long short term memory (LSTM) are
used in global horizontal irradiance (GHI)(W/m 2) forecasting. Variants of LSTM with …
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