Accurate Short-Term Solar Irradiance Forecasting with TinyML on Edge Device
Author:
Affiliation:
1. FST, USMBA,Intelligent Systems, Georesources and Renewable Energies Laboratory,Fez,Morocco
2. Computer Science and Interdisciplinary Physics Laboratory USMBA,Fez,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10616390/10616394/10616453.pdf?arnumber=10616453
Reference21 articles.
1. A Short-term solar irradiance forecasting modelling approach based on three decomposition algorithms and Adaptive Neuro-Fuzzy Inference System
2. Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery
3. A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit
4. Prediction of wind speed and wind direction using artificial neural network, support vector regression and adaptive neuro-fuzzy inference system
5. A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
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