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Featured byCranfield University
Overview
Key facts
Machine learning is a powerful means of digitalisation that can be used to leverage the huge amount of data in energy systems to efficiently evaluate and coordinate various system components. This short course will provide with essential machine learning methods and tools to tackle the real-world energy system problems in facilitating the transition towards net zero.Machine learning is a powerful means of digitalisation that can be used to leverage the huge amount of data in energy systems to efficiently evaluate and coordinate various system components. This short course will provide with essential machine learning methods and tools to tackle the real-world energy system problems in facilitating the transition towards net zero.
Cranfield University's Machine Learning for Smart Transition to Net Zero Energy Systems programme will teach you more about this topic.
Programme Structure
Courses include:
- of challenges and problems of energy systems transition towards net-zero,
- process of implementing machine learning methods,
- Concepts and tools of supervised learning and unsupervised learning techniques,
- Machine learning frameworks in Python,
- Practical case study session on energy usage pattern recognition (user profile) applying unsupervised learning,
- Practical case study session on supervised learning detection of electricity usage anomalies.
- Who should attend
Key information
Duration
- Full-time
- 3 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
- Please enquire for course dates
Language
English
Delivered
On Campus
Campus Location
- Cranfield, United Kingdom
Disciplines
Machine Learning View 22 other Short Courses in Machine Learning in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course is suitable for engineers, IT professionals, consultant and managers working towards net zero and who want to obtain knowledge on applied machine learning techniques.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1020 GBP / full≈ 1020 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1020 GBP / full≈ 1020 GBP / full
Living costs
Cranfield
United Kingdom
700 - 1300 GBP / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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