With the increasing emphasis on digital transformation and productivity improvement, organisations need to continuously enhance workflows while equipping PMETs with relevant skills to stay competitive.
In this structured programme, participants will explore practical analytical techniques to drive energy efficiency from a holistic view of factories and facilities as an integrated system. Participants are introduced to Industry 4.0 technologies and data analytics, and will learn how to acquire real-time data, analyse it, and translate insights into actionable energy efficiency initiatives.
Upon completion, participants will gain the following key insights and outcomes:
Foundational AI and machine learning methods to process operational and energy data and build AI-enabled modules
Identify energy savings and optimisation opportunities in industrial machinery
AI-driven analytics such as pattern discovery and anomaly detection
Data-driven reasoning and unsupervised learning approach for energy initiatives
- Energy efficiency initiative leaders
- Singapore Certified Energy Managers (SCEMs)
- Sustainability managers, engineers and managers of facilities and operation management
Principal Research Engineer, A*STAR SIMTech
Senior Research Engineer, A*STAR ARTC
