TY - GEN
T1 - Transformer Neural Network Architecture for Forecasting of Colombian Solar Irradiance
AU - Orjuela-Canon, Alvaro D.
AU - Blanco-Canon, Angie L.
AU - Jimenez, Mario F.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Renewable resources for electrical energy generation are each time more demanded. Solar irradiation is widely used on these days to compute the possible energy generation. However, the current climate change makes the measuring of the availability of this supply a challenge. For this, forecasting models can be employed to determine what so convenient could be the projection of the generation. This paper shows an approach based on comparison of two neural networks architecture for forecasting of solar irradiance, which can be a resource for photovoltaic generation. Long short-term memory and transformer models were analyzed for determine what network holds better performance in this specific case. Information from three days and a transformer neural network with eight heads presented the best result for the forecasting.
AB - Renewable resources for electrical energy generation are each time more demanded. Solar irradiation is widely used on these days to compute the possible energy generation. However, the current climate change makes the measuring of the availability of this supply a challenge. For this, forecasting models can be employed to determine what so convenient could be the projection of the generation. This paper shows an approach based on comparison of two neural networks architecture for forecasting of solar irradiance, which can be a resource for photovoltaic generation. Long short-term memory and transformer models were analyzed for determine what network holds better performance in this specific case. Information from three days and a transformer neural network with eight heads presented the best result for the forecasting.
UR - http://www.scopus.com/inward/record.url?scp=85204939278&partnerID=8YFLogxK
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U2 - 10.1109/ColCACI63187.2024.10666577
DO - 10.1109/ColCACI63187.2024.10666577
M3 - Conference contribution
AN - SCOPUS:85204939278
T3 - 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings
BT - 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings
A2 - Orjuela-Canon, Alvaro David
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024
Y2 - 17 July 2024 through 19 July 2024
ER -