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Using Quantile Forecasts for Dynamic Equivalents of Active Distribution Grids under Uncertainty
This paper presents a new approach based on quantile forecasting to represent the uncertainty originating in DNs at the TN level.
Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes
Real-time quantification of residential building energy flexibility is needed to enable a cost-efficient operation of active distribution grids.
Unsupervised Disaggregation of Water Heater Load from Smart Meter Data Processing
In the residential sector, electric water heaters are appliances with a relatively high power consumption and a significant thermal inertia, which is particularly suitable for Demand Response schemes.
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