Modeling and Validation of Electrical Load Profiling in Residential Buildings in Singapore

TL;DR

This paper develops and validates a mathematical model for residential electricity load profiles in Singapore, aiding demand response strategies within smart grid initiatives by analyzing various household types.

Contribution

It introduces a bottom-up load modeling approach for different residential building types in Singapore and validates it with real consumption data.

Findings

Model accurately predicts daily load profiles.

Validation shows high correlation with measured data.

Different household types exhibit distinct consumption patterns.

Abstract

The demand of electricity keeps increasing in this modern society and the behavior of customers vary greatly from time to time, city to city, type to type, etc. Generally, buildings are classified into residential, commercial and industrial. This study is aimed to distinguish the types of residential buildings in Singapore and establish a mathematical model to represent and model the load profile of each type. Modeling household energy consumption is the first step in exploring the possible demand response and load reduction opportunities under the smart grid initiative. Residential electricity load profiling includes the details on the electrical appliances, its energy requirement, and consumption pattern. The model is generated with a bottom-up load model. Simulation is performed for daily load profiles of 1 or 2 rooms, 3 rooms, 4 rooms and 5 rooms public housing. The simulated load profile is successfully validated against the measured electricity consumption data, using a web-based Customer Energy Portal (CEP) at the campus housings of Nanyang Technological University, Singapore.