VAPOR: A Novel Approach to Energy Supply and Demand Forecasting in a Photovoltaic Microgrid

Name		Name	Last commit message	Last commit date
Data		Data
EuropeData		EuropeData
Graphs		Graphs
LiquidLSTM_Load_Logs/Liquid-LSTM-Dense Layers-2-Command Neurons-64-inter neurons-64Filters-64-Layers2-Learning Rate-0.005-Time-1641164283		LiquidLSTM_Load_Logs/Liquid-LSTM-Dense Layers-2-Command Neurons-64-inter neurons-64Filters-64-Layers2-Learning Rate-0.005-Time-1641164283
_EuropeModels		_EuropeModels
_SanDiegoCode		_SanDiegoCode
models		models
EvalModel.py		EvalModel.py
GraphPredictedvReal.py		GraphPredictedvReal.py
GraphPredictedvRealSupply.py		GraphPredictedvRealSupply.py
Graphs.py		Graphs.py
GraphsSupply.py		GraphsSupply.py
Load_LSTM_Liquid.py		Load_LSTM_Liquid.py
Load_LSTM_Model.py		Load_LSTM_Model.py
PersistanceLoadForecast.py		PersistanceLoadForecast.py
PersistanceSupplyForecast.py		PersistanceSupplyForecast.py
README.md		README.md
Supply_Data_Preprocess.py		Supply_Data_Preprocess.py
Supply_LSTM_Bidirectional.py		Supply_LSTM_Bidirectional.py
Supply_LSTM_Model_V1.py		Supply_LSTM_Model_V1.py
Test1.py		Test1.py
Test2.py		Test2.py
eNetWebApp.py		eNetWebApp.py

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