E-Course 705 Managing Energy Data: Advanced Analytics
Available course dates
This course has no planned course dates.
If you are interested in this course, contact us at cei@cei.se
E-Course 705 Managing Energy Data: Advanced Analytics
TECHNOLOGY FOCUS
The Internet of Things (IoT) revolution (e.g., the vast spread of smart meters worldwide) is generating massive amounts of energy data, drastically transforming the sector and current energy systems. This digital transformation gives rise to more intelligent ways of managing energy and brings about opportunities for energy companies to improve their business models and services.
In this certification, you will find out how to extract insights from energy big data in order to boost your business and create value-added services. You will learn how to develop and implement data science projects in energy businesses and will work with real-life cases that require data science.
COURSE CONTENT
This certification empowers learners to:
- Explain how data science can bring value to the energy sector
- Evaluate the implications, challenges and benefits of implementing data science projects in an energy company
- Apply lessons learned from real-life business cases in which data science was applied to energy big data
- Supervise the development and implementation of a data science project and create new value with the available data
- Evaluate the impact of electrification on the system-wide peak electricity demand and the role that smart charging, demand management techniques and energy storage can play in mitigating these effects
WHO SHOULD ATTEND
The courses in this certification are beneficial for:
- Senior operations personnel in energy utilities (distribution system operators, energy suppliers) and industry.
- Energy entrepreneurs looking to improve the value of their companies.
In order to be able to follow and benefit from the Managing Energy Data course learners would need to have a basic knowledge of the electricity grid and the energy market.
The required time investment is around 15 hours on average, including the certification evaluation. The provided estimation of learner time investment is approximate and serves as an example. We recommend for course providers to assess the availability and needs of their target audience and adapt the course duration accordingly.
To succeed in Managing Energy Data and receive a Certificate of Accomplishment, a learner needs to obtain a minimum score of 75 points in the certification assessment. This certification assessment serves as a test on the understanding of the course content by each learner. In-lesson quizzes are only meant for self-evaluation and do not count towards the final Certificate.
Daily Schedule
Course 1: Get an overview of the importance of data science along with an introduction to smart meters and the data they can provide.
o Smart Meter Data
o The Data Science Process
o Main Data Science Techniques Applied in the Energy Sector
o Getting Value from Smart Meter Data
Course 2: Find out the key steps to ensure the required quality of data in order to develop a valid data science model, and the focus of this course.
o The Importance of Exploratory Analysis and Data Pre-Processing
o The Importance and Availability of Metadata
o Data Quality
Course 3: Explore how by looking at consumption profiles and including other types of data, there is a massive opportunity to develop the right models that will let us know our clients.
o The Value of Customer Segmentation
o Segmenting Energy Consumers
o Non-Intrusive Load Monitoring: Watt-IS Business Case
o Customer Relationship
Course 4: Look at applicability and advantages related to energy forecasting.
o The Value of Energy Forecasting
o From Statistical Models to Artificial Intelligence
o Forecasting at the level of the End Consumer
o Forecasting at the level of the Gri
Course 5: Explore the dynamics around energy businesses and the importance of advanced data analytics to improve customer engagement, namely by focusing on developing tailored services, ultimately increasing the potential to deliver value.
o Churn Rate: How is it Killing the Business of Utilities
o Selling kWh is no Longer a Healthy Business
o User Engagement Through Digitalisation
o Tailoring Services to Increase User Satisfaction
o Cross-Sector Electrification
o Energy Storage Analytics
Course 6: Get real-life insight on successful companies strongly based on data science, explaining how they have been able to deliver high value to their clients.
o Creating a Data Science Company from Scratch
o Managing Data Science in Your Company
o Exploring Successful Businesses of Data Science Startups in the Energy Sector
o Final Remarks
Certification assessment: Take an online exam covering topics from all the component courses within the certification. Successful completion of the Certification Assessment scoring 75%) will earn you a Certificate of Accomplishment for this certification.