Abstract
A methodology is proposed whereby residential customers can be grouped by their diurnal air-conditioner use profiles during the hottest days in summer. The procedure, illustrated with data from a load experiment study, involves three phases. The first is to form a subset of electricity use data corresponding solely to days when utilities are likely to face summer peaking problems. The second phase is to identify a characteristic diurnal A/C load profile for each customer which adequately represents his day-to-day behavior during these peak days. The final phase is to cluster these diurnal A/C load profiles into physically consistent discrete groups. The eventual practical applications of this methodology are that it could assist utilities in better planning and implementing cost-effective peak shaving strategies.
Original language | English (US) |
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Pages (from-to) | 1085-1097 |
Number of pages | 13 |
Journal | Energy |
Volume | 15 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1990 |
Externally published | Yes |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Pollution
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering