Pre-conference event: May 13

Digitalization of Energy Markets: Cloud, Robotics and Data Analytics

May 13th 2019: Digitalization of Energy Markets: Cloud, Robotics and Data Analytics

Disruptive forces are challenging the status quo in energy markets across the globe, and we see the industry changing faster when some might have anticipated. Understanding opportunities and strategic risks associated with the rise of new technology and digitalized market structure, is now essential and will prepare you for new things that’ll follow.

In this workshop, we will highlight key tools available for organizations and how they can be effectively applied.  

Led by:

Sid Dash, Research Director, CHARTIS RESEARCH
Jonathan Regenstein, Director of Financial Services, RStudio 

More tutors to be announced




Keeping up with digital disruption in the energy sector: Key developments and applications

  • Cloud computing: The effective use of cloud in energy
  • Artificial intelligence: Data tools, machine learning and robotic process automation
  • Distributed ledger technology:  What progress has been made in blockchain applications in energy?

Speaker to be confirmed




Machine learning in power trading including application of machine learning and neural networks in load forecasting and scheduling

  • Using fuzzy classifier to manage pipeline optimization and electricity network analysis (allow identification of opportunities in congestion ,capacity trading etc)
  • Using machine learning for renewables systems analysis.
  • Using genetic algorithms   for logistics management in physical energy asset (electrical networks , gas ,coal ) using practical examples to illustrate and illuminate how to build genetic algorithms for the above use cases
  • Managing complex data sets and big data: managing standard energy assets data sets such as networks, contracts , asset price curves , drilling info , logistics and supply chain data  in conjunction with very large scale data
  • Introducing graph , array oriented , gpu accclerated , object ,embedded  and other times of novell databases technologies ( including Hadoop and hpc/Hadoop hybrids ) to address the above big data and complex data problems

Sid Dash, Research Director, CHARTIS RESEARCH




Visualizing energy prices with R: From raw data to an interactive dashboard of modeled  relationships

  • The role and practice of data visualization in energy price research, using tools and packages in the R programming language
  • Starting with raw price data, exploring  model and visualizing it, and finally creating an interactive dashboard to house that work in a compelling format
  • Different parts of the R toolchain and how they fit into the broader data science paradigm
  • Live coding examples

Jonathan Regenstein, Director of Financial Services, RStudio




I. Focus on robotics: The use of robotic process automation (RPA) in energy trading and risk management

II. Focus on cloud computing: The use of cloud computing in  energy trading and risk management

Speakers to be confirmed



Each presenter will summarise key takeaways form their presentations and will open up for the Q&A and final thoughts on the industry’s adoption of digital tools


End of the workshop.