Learning-Based Adaptive Imputation Methodwith kNN Algorithm for Missing Power Data
AbstractThis paper proposes a learning-based adaptive imputation method (LAI) for imputing missing power data in an energy system. This method estimates the missing power data by using the pattern that appears in the collected data. Here, in order to capture the patterns from past power data, we newly model a feature vector by using past data and its variations. The proposed LAI then learns the optimal length of the feature vector and the optimal historical length, which are significant hyper parameters of the proposed method, by utilizing intentional missing data. Based on a weighted distance between feature vectors representing a missing situation and past situation, missing power data are estimated by referring to the k most similar past situations in the optimal historical length. We further extend the proposed LAI to alleviate the effect of unexpected variation in power data and refer to this new approach as the extended LAI method (eLAI). The eLAI selects a method between linear interpolation (LI) and the proposed LAI to improve accuracy under unexpected variations. Finally, from a simulation under various energy consumption profiles, we verify that the proposed eLAI achieves about a 74% reduction of the average imputation error in an energy system, compared to the existing imputation methods. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kim, M.; Park, S.; Lee, J.; Joo, Y.; Choi, J.K. Learning-Based Adaptive Imputation Methodwith kNN Algorithm for Missing Power Data. Energies 2017, 10, 1668.
Kim M, Park S, Lee J, Joo Y, Choi JK. Learning-Based Adaptive Imputation Methodwith kNN Algorithm for Missing Power Data. Energies. 2017; 10(10):1668.Chicago/Turabian Style
Kim, Minkyung; Park, Sangdon; Lee, Joohyung; Joo, Yongjae; Choi, Jun K. 2017. "Learning-Based Adaptive Imputation Methodwith kNN Algorithm for Missing Power Data." Energies 10, no. 10: 1668.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.