Time Series Analysis on the Power-LCL dataset

Results

What will I look into?

• Skewness and Kurtosis of the distribution of power consumed
• Quarterly, Yearly, Monthly consumption patterns
• If there is a difference in the consumption based on DayOfWeek

Data Preprocessing

• Clearing of redundant columns
• As mentioned in the problem statement that we have to perform an analysis on the hourly data hence we have to resample it.
• The processed file is ultimately stored in a different csv file

LSTM for Time Series Analysis

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The task is to predict the electricity usage of the households using the data provided.

• LSTM or a Long Short Term Memory units is a type of Recurrent Neural Network that is capeable to remember past values inputted to the network.
• I will be going to use a multi-layered LSTM RNN to predict an unknown value that is preceeded by a sequence of lookback values that are inputs to the LSTM.