WSQ IoT-Based Energy Management for Solar Systems (Classroom and Asynchronous)

Training Provider: Sustainable Energy Association of Singapore (SEAS)
Course Reference: TGS-2021009796
S$400
Original: S$800
Save S$400

About This Course

Learners will be able to:
• Plan and manage energy consumption patterns by performing system information integration to analyse big data, including analysing automated tools and systems to perform troubleshooting
• Interpret data to identify energy optimisation opportunities through understanding of control models, process control algorithms and strategies behind automated systems and the interpretation of robotics and network information to schedule production and/or maintenance works in networked environments
• Apply Industry 5s approach to monitor and optimise energy consumption through IoT technology in automated plants

What You'll Learn

The WSQ IOT based energy management system for solar will transform learner's understanding of the relationship between data interpretation and solar systems. This workshop aims to provide solar professionals with the skills of a pre-emptive maintenance through the intelligent communication with solar photovoltaic structures

Entry Requirements

Learners are assumed to:
• have basic knowledge of solar systems
• able to analyse data and customise dashboard
• have basic knowledge of electrical engineering competencies
• be able to utilise devices to compute and communicate with others on the team
• be able to listen and speak English at a proficiency level equivalent to the Employability Skills System (ESS) level 4;
• be able to read and write English at a proficiency level equivalent to ESS level 4; and
• be able to process numbers at a proficiency level equivalent to ESS level 4
• possess at least 1 year working experience in an engineering or solar projects

For IoT:
• Target audience would be those with EEE, mechanical or computer science background. NITEC with 3 years’ experience in networking might take the course too
• Basic understanding of solar systems can be considered as the pre-requisite

Course Details

Duration 21 hours
Language English
Training Commitment Part Time
Total Enrolled 64 students
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