Clustering of Load Profiles of Residential Customers Using Extreme Points and Demographic Characteristics

In this paper, a systematic method is proposed to cluster the energy consumption patterns of residential customers by utilizing extreme points and demographic characteristics. The extreme points of the energy consumption pattern enable effective clustering of residential customers. Additionally, demographic characteristics can be used to determine an effective extreme point for the clustering algorithm. The K-means-based features selection method is used to classify energy consumption patterns of residential customers into six types. Furthermore, the type of energy consumption pattern can be identified depending on the characteristics of residential customers. The analytical results of this paper show that the extreme points are effective in clustering the energy consumption patterns of residential customers.

Research on the structure of energy consumption pattern in typical Western China based on time series analysis

Accelerating the transformation of the energy consumption pattern in western China and promoting the development of clean energy are the main problems facing the energy consumption system. This paper bases on the characteristics of China’s western region the industrial structure, the energy consumption structure, and analyses the energy consumption model transformation trend of typical of the west, on this basis, the combination of time series analysis and ARIMA model is used to set up different typical energy consumption in the field of forecast and analysis, and put forward according to the results of the analysis of energy consumption model transformation.

Energy Consumption Pattern of Residential Buildings: Case Study of Residential Area in Batu Pahat, Johor

According to the National Energy Balance report released by the Energy Commission of Malaysia in 2016, the residential sector uses 21.6% of the total energy in Malaysia. Residents waste energy through inefficient energy consumption and a lack of awareness. Building occupants are considered the main factor that influences energy consumption in buildings, and to change energy consumption on an overall scale, it is crucial to change individual behaviour. Therefore, this study focused on analysing the energy consumption pattern and the behaviour of consumers towards energy consumption in their homes in the residential area of Batu Pahat, Johor. A self-administrated questionnaire approach was employed in this study. The findings of this study showed that the excessive use of air conditioners was a significant factor in the increasing electricity bills of homeowners as well as the inefficient use of electrical appliances. Also, this study determined the effect of awareness on consumer behaviour. This study recommends ways to help minimise energy consumption in the residential area.

Energy Consumption Pattern of a Decentralized Community in Oyo State, Nigeria

Energy is required in the manufacturing process of various products and in the movement of goods and services within and outside a country. Energy consumption patterns, which consist of energy sources, quantities and the demographics of the consumers, help in drawing a clearer picture of the economic situation of the location. This work involves a survey of the energy consumption pattern carried out in a decentralized community. As established from the research, there is a direct correlation between economic development and energy consumption. It is therefore imperative to study the energy usage in rural areas to help decision makers tackle their energy problems. A survey questionnaire was designed for this study and energy conversion method was employed for the conversion of the raw data collected into energy units to determine the quantities of energy consumed in various sectors at the Alagbaa community in Akanran, Ona Ara Local Government Area, Oyo State, Nigeria. The survey covered a heterogeneous population of different income groups and social groups. Studies were carried out on the total and average quantities of energy consumed in the domestic (cooking and home electrification), transportation and agricultural sectors. Home electrification accounted for 37% of the total energy used while transportation, cooking and agriculture accounted for 35%, 13% and 15% respectively. From the study, it was found that economic inequality is also displayed in the choice of energy sources with higher deviation found in the total amount energy consumption. It was also realized that the least conventional source of energy, firewood, showed higher deviation. It also revealed that 50% of the energy used was channelled to non-economic activities.

Energy Consumption Pattern of a Decentralized Community in Oyo State, Nigeria

Energy is required in the manufacturing process of various products and in the movement of goods and services within and outside a country. Energy consumption patterns, which consist of energy sources, quantities and the demographics of the consumers, help in drawing a clearer picture of the economic situation of the location. This work involves a survey of the energy consumption pattern carried out in a decentralized community. As established from the research, there is a direct correlation between economic development and energy consumption. It is therefore imperative to study the energy usage in rural areas to help decision makers tackle their energy problems. A survey questionnaire was designed for this study and energy conversion method was employed for the conversion of the raw data collected into energy units to determine the quantities of energy consumed in various sectors at the Alagbaa community in Akanran, Ona Ara Local Government Area, Oyo State, Nigeria. The survey covered a heterogeneous population of different income groups and social groups. Studies were carried out on the total and average quantities of energy consumed in the domestic (cooking and home electrification), transportation and agricultural sectors. Home electrification accounted for 37% of the total energy used while transportation, cooking and agriculture accounted for 35%, 13% and 15% respectively. From the study, it was found that economic inequality is also displayed in the choice of energy sources with higher deviation found in the total amount energy consumption. It was also realized that the least conventional source of energy, firewood, showed higher deviation. It also revealed that 50% of the energy used was channelled to non-economic activities.