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.
To know how Qualetics gives an effective solution, download the full usecase.
About Qualetics Data Machines
Data Analytics and Artificial Intelligence is growing to be an ubiquitous need in the modern enterprise ecosystem. The need for Analytics is ranging from basic Descriptive and Diagnostic Analytics to advanced Predictive, Prescriptive and Cognitive Analytics. However, the barrier of entry is high due to expensive infrastructure and highly skilled resource requirements.
Qualetics Data Machines Inc. aims to eliminate this barrier by introducing a product that makes it easy for businesses to embrace data science and gain data intelligence.