Classification of electricity customer groups towards individualized price scheme design
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2017 North American Power Symposium (NAPS) |
| Publisher | IEEE |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-5386-2699-3 |
| DOIs | |
| Publication status | Published - 16 Nov 2017 |
| Publication type | A4 Article in a conference publication |
| Event | North American Power Symposium - Duration: 1 Jan 1900 → … |
Conference
| Conference | North American Power Symposium |
|---|---|
| Period | 1/01/00 → … |
Abstract
This paper introduces classification of electricity residential customers into different groups associated with individualized electricity price schemes, such as time-of-use (TOU) or critical peak pricing (CPP). We use an unsupervised learning method, K-means, assisted by a dimensionality reduction technique and an innovative supervised learning method, extreme learning machine (ELM), to cluster daily load profiles based on hourly AMI measurements. Then, the achieved typical daily load profiles are analyzed and utilized for the design of an electricity price scheme for every subgroup based on symbolic aggregate approximation (SAX). These carefully designed and customized retail price schemes can provide a potential tool for price-based and incentive-based demand response in the Smart Grid context.
Keywords
- Aggregates, Load management, Pricing, Principal component analysis, Smart grids, Smart meters
Publication forum classification
Field of science, Statistics Finland
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