Learning to predict peak demand

Clustering load profiles is tricky. Even 'similar' high-resolution use patterns have little overlap, if they are slightly shifted in time. This paper applies a novel clustering approach for cumulative load profiles. Random forests walks identify explanatory variables for high peak time demand using our activity data.

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