CLEMD, a circuit-level electrical measurements dataset for electrical energy management

Area of Science:

• Electrical Engineering
• Energy Systems
• Data Science

Background:

• Enhancing energy efficiency in commercial buildings is vital for reducing overall energy consumption.
• Monitoring individual appliance energy usage is challenging due to numerous devices, complex installations, and high costs.
• Existing datasets often lack granular, circuit-level data crucial for detailed analysis.

Purpose of the Study:

• To introduce the Circuits-Level Electrical Measurements Dataset (CLEMD), a novel dataset for energy consumption analysis in commercial buildings.
• To provide a cost-effective alternative to individual appliance monitoring by collecting data at the circuit level.
• To enable research in areas like load disaggregation, circuit identification, and load forecasting.

Main Methods:

• Measurements were conducted at the main switchboard to distribution boards, not individual loads, within an institutional setting.
• Industry-grade devices with a high sampling rate (200 kHz) were used to capture vital electrical parameters.
• Data was collected over a 40-day period (September 16 to October 25, 2023), comprising 42 records.

Main Results:

• The dataset includes key electrical parameters: voltage, current, frequency, real power, reactive power, apparent power, power factor, and odd harmonics.
• CLEMD represents the first public dataset of its kind in Malaysia, focusing on circuit-level electricity consumption.
• The data's high sampling rate and comprehensive parameters support advanced analytical techniques.

Conclusions:

• CLEMD offers significant opportunities for research in electricity load disaggregation at the circuit level.
• The dataset can be utilized for circuit identification, load profile forecasting, and pattern recognition in commercial buildings.
• This resource aids in developing more effective energy efficiency strategies through detailed electrical usage analysis.