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DATA-DRIVEN ENERGY EFFICIENCY MANAGEMENT* (16 HOURS)

Data-driven Energy Efficiency Management
*This is a non-WSQ module.

This course aims to equip participants with Data-Driven Energy Efficiency Management (D²EEM) concepts, methodology, analysis technologies and enabling system, allow them to master fundamentals knowledge, practical approaches and Internet-of-Things (IoT) specialized hands-on skills on energy data collection, monitoring and analysis, and promote them to lead EEM initiative of a company at the end of the programme.

This 2-day programme is jointly organised by the Singapore Institute of Manufacturing Technology (SIMTech) and the Singapore Institute of Technology (SIT), and is highly relevant to your organisation in monitoring and managing energy usage. Participants gain the opportunities to visit both the Model Factory@SIMTech and the Learning Factory@SIT for practical experiences. 

About the Programme

Energy Efficiency Management journey starts with an energy consumption monitoring system which can be provided by an off-the-shelf commercial system. The differentiators of this course from off-the-shelf monitoring systems are not only in providing holistic fundamentals concepts, knowledge, methodologies to address Energy Efficiency Management, but also to provide enabling technologies and practical IoT-based hands-on skills for energy data collection, monitoring and data-driven analysis. The D²EEM course will equip you with knowledge and skills for Digital Transformation in the area of Energy Efficiency Management.

This is definitely a premium course for you to start your IoT-based Energy Efficiency Management journey both for your organisation’s initiative and for own career.




Webinar

Our webinar was held on 29 July 2021 to offer an introduction to this course. You can also watch our webinar's video recording at our YouTube webpage.

Watch here




Course Outline
Upon Completion of This Course



Pre-Requisites and Nett Course Fee



Contact Us




Brochure and Registration

Please register for this course under 1. Modular Programmes > 2. Energy Efficiency Management in the online registration form.



Schedule

Modules
Skills Course Reference Number  Training Period (Click on dates to view schedules) Registration Period
Improve Manufacturing Productivity through Energy Usage Pattern Monitoring and Analysis (48 hours)

TGS-2018502736

Data-driven Energy Efficiency Management (16 hours)
TGS-2020504611
FD25 Aug 2021 & 30 Aug 2021
OPEN
 
Sessions
FD : Full Day  AM : Morning PM : Afternoon EVE : Evening