Our client is a product resource management company. The client wanted to identify opportunity areas for a leading manufacturer to reduce their energy consumption and carbon footprint across their production facilities.

The client wanted to use historical machine-level production outputs to accurately estimate energy resources required per machine and subsequently take corrective action to reduce energy inefficiencies within their production processes.

• Sparse facility output data to identify the right relationships and not over-parameterize or over-fit the model
• The energy consumption at production facilities also depended on several undocumented sources of energy consumption such as HVAC
• Observed temporal relationships between the machines that are generally difficult to capture using sparse data