Swiss Energy Company

Building a predictive maintenance model to detect abnormal measurements earlier, leading to better maintenance planning and cost reduction

Challenge

• Currently no reliable long-term anomaly detection system
• Slow-shifting anomalies are hard to detect with human surveillance as they can take months
• Goal to have a predictive maintenance system to spot these issues early and plan maintenance more effectively

Solution

• Unit8 built a predictive machine learning model for physical variables of interest (e.g., temperature or vibration)
• Define a threshold for values to be throughout the day and sends automatic alerts if a value differs significantly from model predictions

Business impact

• Engineers able to detect abnormal changes in measurements much earlier
• Maintenance can now be planned effectively
• Shorter stops in electricity production leading to lower costs due to plant shutdown

Energy Company

Developing forecasting model to predict electricity prices and help traders make better decisions resulting in a 25% reduction in deviation compared to previous models in place

Challenge

• Client needs accurate electricity price forecasts for internal trading team
• Goal to improve price forecasting using a fixed train/valid/test reference dataset
• Need for a new probability forecast to be implemented

Solution

• Built backtesting pipeline and test multiple forecasting configurations (multivariate time series)
• Developed forecasting solution which generated probabilistic forecasts with consistent prediction intervals

Business Impact

• Unit8 model significantly improved forecasts compared to previous solutions in place
• Reduced deviation between forecasted and actual prices
• by 25% compared to previous model

US energy company

Implementing Foundry workflow automating part of the manual process to facilitate entry and reviewing of gas infrastructure maintenance data

Challenge

• Client needs to provide a report about the monitoring of their gas infrastructure to regulators
• Measurement data about infrastructure exists solely on paper and ML implementation is limited by legal requirement to check data manually

Solution

• Workflow established in Foundry to facilitate the control process of the measurement data

Impact

• Measurement data entry and review process facilitated by Foundry workflow
• Projected reduction in man hours of 30%, representing a saving of 10k man hours in total

German energy trading company

Enabling contract profitability computation and insight at the individual contract level

Challenge

• Little insight on the profitability of at the individual contract level
• Need to extend contract monitoring capabilities and provide individual profitability metrics

Solution

• erformed a standard ETL process in Palantir Foundry to allow profitability computation at individual contract level

Impact

• Enabled monitoring and improved decision-making capabilities for new contracts and contract extensions
• Created basis for reduction of potential losses on trading contracts