2026-10-15T22:44:39Z https://data.mendeley.com/oai

oai:data.mendeley.com/ycnx7zrhp7.1 2018-08-29T02:17:01Z

Asres, Mulugeta Data for: Non-intrusive Load Composition Estimation for Low Voltage Substations from Aggregate ZIP Load Models Mendeley Data The dataset composes simulated aggregate Loads at low voltage distribution substation feeder. The data contains Pagg, Qagg, ZIP model of Pagg, ZIP model of Qagg, Voltage, Weight (Load Composition) and other derived parameters. The dataset was prepared as follows: 1. Load composition [0, 100%] among thirteen dominant load categories (at LV) using Monte-Carlo Simulation was generated. 2. Aggregate load at LV substantiation was prepared as the weighted sum of the generated load compositions and ZIP model of the contributing load categories. Substation Automation Girmay, Awet Tesfamariam, Gebremichael Camarda, Christian Dataset doi:10.17632/ycnx7zrhp7.1 oai:data.mendeley.com/ycnx7zrhp7.1 Attribution-NonCommercial 3.0 Unported https://creativecommons.org/licenses/by-nc/3.0 https://data.mendeley.com/datasets/ycnx7zrhp7 2018-08-29T02:17:01Z