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Predictive Maintenance Optimization

Data Engineering Case Study

Overview

To estimate the level of energy consumption based on past usage statistics and to provide critical insights on future demands using analytics as a solution. Based on various factors of energy usage, level of operations, and unexpected surges in resource requirements, demand prediction can play a vital component in the overall predictive approach.

Challenges

The Distribution of energy is not being done based on consumer demand. There is no estimate focusing on possible future values to help in the equipment of adequate resources resulting in errors and slow progress.

Our Solution

As a preliminary part of demand estimation, historical usage data is extracted and studied.
Examination of previous periodic trends to generate new insights on resource allocation.
Depending on seasonal fluctuations and market trends, the consumption pattern is analyzed.
Resource utilization based on units consumed is compared hand in hand to understand meaningful relations.