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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
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More details
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Language
English
Delivered
On Campus
Disciplines
Machine Learning View 37 other Short Courses in Machine Learning in United KingdomAcademic 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.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Cranfield University and/or in United Kingdom, please visit Student Insurance Portal.
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 Fee
To always see correct tuition fees
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International
1020 GBP/fullTuition FeeBased on the tuition of 1020 GBP for the full programme during 3 days. -
National
1020 GBP/fullTuition FeeBased on the tuition of 1020 GBP for the full programme during 3 days.
Living costs for Cranfield
700 - 1300 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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