I may be slow to respond.
graduate student doing research on smart grid. lifelong learner. I post my source codes related to thesis and personal projects.
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De La Salle University
- Manila, Philippines
- https://www.linkedin.com/in/justindg/
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anomaly-detection-bagging-mlp
anomaly-detection-bagging-mlp PublicThis repository is related to my another repository (https://github.com/jddeguia/energy-output-profiling)
Jupyter Notebook
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bagging-lstm
bagging-lstm PublicImplementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM
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energy-output-profiling
energy-output-profiling PublicNotebook files for classification and detection of anomalous trend in time series inverter data
Jupyter Notebook 2
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compare-forecast-models
compare-forecast-models PublicEnergy production of photovoltaic (PV) system is heavily influenced by solar irradiance. Accurate prediction of solar irradiance leads to optimal dispatching of available energy resources and antic…
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grid-search-pca-cnn
grid-search-pca-cnn PublicImplementation of solar irradiance prediction model with grid-search optimization
Jupyter Notebook 3
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looker-ecommerce-analysis
looker-ecommerce-analysis PublicAnalysis of the Google Public Dataset for Ecommerce
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