A Multimodal Interaction-Driven Feature Discovery Framework for Power Demand Forecasting by Zifan Ning, Min Jin, Pan Zeng

“…TKNFD systematically and automatically aggregates qualitative textual knowledge, expands it into a candidate feature-type set, collects corresponding numerical data for these features, and ultimately constructs four-dimensional multivariate source-tracking databases (4DM-STDs). …”
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