Identifying Data Issues in Networked Energy Monitoring Platforms

The increase in energy usage in buildings and carbon emissions has drawn attention to energy saving and efficiency. Organizations adopt energy management systems compliant with ISO 50001 standards, showcasing notable savings and fostering sustainability. The integration of AI, big data analytics, IoT devices, and smart energy meters revolutionizes energy management in buildings. Effective monitoring of energy consumption hinges on reliable data for informed decisions. Ensuring data quality post-transmission to the monitoring platform is vital, as is evaluating these platforms for data reliability. We introduce a methodology for assessing energy management platforms using reference data from a vendor monitoring platform. Furthermore, a case study is presented that implements the proposed methodology in a high-energy-consuming public university campus subject to local energy efficiency laws. The campus has developed a monitoring platform to track building energy consumption and is required to evaluate and ensure data reliability for decision-making and automating tasks.