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Data · dataset · 2018

Data for: Non-intrusive Load Composition Estimation for Low Voltage Substations from Aggregate ZIP Load Models

Listed in Teesside University Research Data Repository

The dataset composes simulated aggregate Loads at low voltage distribution substation feeder.

Description

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.

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Where it is published

Catalogue records · 1

Topics

From keywords
Earth & Environmental Science
Inferred from text
Simulation 75%
Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/ycnx7zrhp7.120 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[method].local:method:simulationenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
license_textsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title