WEBINAR ON-DEMAND
Using AI to Optimize TOU Load Shaping
In this webinar, Lead Data Scientist Riley Cook shared how AMI data supports sustainability, citing major cuts in carbon emissions and coal use since 2005, and targets for 100% renewable electricity by 2030.
Riley discussed using AWB’s methods for EV detection, validation, and integrating EV data into load forecasting. Cook also covered heat pump and heating classification models that aid in load prediction and revenue recovery, noting an 82% match between Nova Scotia Power’s and AWB’s models. He highlighted the effects of critical peak pricing on load shifts and strategies for managing electrified loads. The session ended with future plans for predictive modeling and advanced machine learning in demand response, followed by a Q&A.
Introduction to Nova Scotia Power's AMI Data and Sustainability Achievements
00:00:00
EV Detection and Validation Journey with AWB
00:02:59
Heat Pump Classification and Load Optimization
00:12:58
Comparing Heating Classification Models with AWB
00:18:41
Critical Peak Pricing and Electrification Insights
00:24:29
Future Trends and Final Q&A
00:37:59
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