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expert fusion

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papersTODAY 04:00 UTC

arXiv Paper Proposes Horizon-Specific Expert Fusion for Solar Power Forecasting

A new arXiv preprint describes a hierarchical ensemble method for short-term photovoltaic power forecasting. The approach pairs temporal neural models with expert fusion that adapts to the forecast horizon, reflecting that regular solar cycles and weather-driven variation matter differently at different lead times. The work targets improved accuracy in solar generation forecasts.

forecasting/ensemble-learning/time-series/energy