Time Series Forecasting to Analyze LPG Usage

Use case in Energy Data Intelligence

The intent of the current study is to analyze the LPG usage consumption and forecasting, by leveraging Time Series, the values to predict the LPG usage – by giving inputs area-wise, dealer-wise, and season-wise on a weekly, monthly, and yearly basis.

This case study leverages AI and Machine Learning to predict LPG usage by using a concept mechanism like a trolley enabled with sensors. These trolleys capture the weights of the cylinders and transmit continuous updates on weight of the cylinder, gas leakage occurrences and ambient temperature to the dealers and manufacturers. Qualetics provides a solution that captures the above-mentioned data points continuously and allows the possibility of real-time streaming analytics of the LPG gas usage as well as advanced analytics on data captured over long periods of time.

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