Install and test an artificial intelligence (AI) based automated energy management system (EMS) and smart load disaggregation technique for real-time optimal energy management for for EcoLabs Digital Twin Energy Efficiency lab (06-03) and at one select customer (C&I) test sites in Singapore
Singapore based Intelligent Energy Management solutions provider Resync has partnered with Singapore’s Ecolabs Centre of Innovation for Energy (EcoLabs) and Energy Research Institute @ NTU (ERI@N) to test and implement deep-tech AI enhanced Energy Management and Load Disaggregation solution to optimize energy utilization through energy efficiency. The objective of this tandem is to test an artificial intelligence (AI) based automated load disaggregation technique for real-time optimal energy management for commercial and industrial application.
Proposed Intelligent Energy Management solution is a plug & play product, which can be seamlessly integrated into existing energy infrastructure for commercial and industrial scale customers. It has multi-disciplinary capabilities such as advanced communication with various energy assets, real-time control based on proprietary algorithms, cloud-based machine learning optimization and advanced data analytics in the presence of variable tariff, controllable loads, renewable generation, energy storage, and IoT devices. An interactive end user dashboard, web and mobile, will facilitate a sustained user engagement.