The statistical data of water and soil conservation works for overhead transmission lines often suffer from incompleteness due to variations in project scale. To address this data gap, this study proposes an innovative interpolation algorithm that combines time-series characteristics with a Gated Recurrent Unit (GRU) model to accurately estimate missing values in water and soil conservation statistics. The proposed methodology first analyzes the types of statistical data involved and collects multi-source informat…