Use Machine Learning and Open Source Tools to Automate Load Prediction
- Dec 2, 2019 4:04 pm GMT
This item is part of the Special Issue - 2019-11 - Artificial Intelligence, click here for more
Several of our utility customers were interested in a solution that would add load estimation capabilities to their existing architectures. Accurate load prediction helps generators plan for future demand and participate in the energy markets more cost effectively. In the event meters are down or the telemetry to meters is down, a load estimator accurately reconciles the load as well. We knew machine learning would be the perfect tool to cull the wide range of possible variables to determine the predicted load; and, Open Source tools would allow us to quickly develop a highly accurate load estimator at a cost-effective price. We call the tool AMBLE (Automated Machine Learning Based Load Estimator). The following article discusses how we developed the system and lessons learned.
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