DATA-DRIVEN ENERGY EFFICIENCY MANAGEMENT* (16 HOURS)
*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 28 January 2022 to offer an introduction to this course. You can also watch our webinar's video recording at our YouTube webpage.

download brochure OR register of interest for course
Please register your interest for this course under 1. Modular Programmes > 2. Energy Efficiency Management in the online form.
Note: SIMTech will contact you once registration for the next run of the course you are interested in opens.
Schedules
Modules
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Skills Course Reference Number |
Training Period (Click on dates to view schedules) |
Registration Status |
Improve Manufacturing Productivity through Energy Usage Pattern Monitoring and Analysis (48 hours)
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TGS-2018502736 |
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Data-driven Energy Efficiency Management (16 hours)
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TGS-2020504611
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Sessions

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: Full Day |

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: Morning |

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: Afternoon |

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: Evening |