Data and AI at Helen, Mikko Muurinen, Head of Data & AI
The Finnish energy producer Helen set itself the goal to become carbon neutral by 2035. This shall be achieved for example by using AI in all sectors of the business. Learn about Helen’s Data Strategy, their desired future digital landscape and connected data platforms.
Short-term ML Forecasting in Energy Production, Sami Kojola, Data Scientist
As energy production runs on forecasts, data sets are crucial to provide signals for forecasting and precise estimation. Larger data sets provide better predictive accuracy and more accurate estimation. In the long run, it will be the data assets, not the modeling expertise, that will determine the benefits that an organization can derive from data science.
Forecasting Long-term Electricity Demand for Hedging: Residential Sector, Erno Savela, Development Manager Analytics, Team Lead
For the purpose of forecasting the electricity demand and to decide which business model to choose, Helen analyzed different sectors like science, business, key factors, measurement of success and competitors.
Mixed Bag of Data Science – Studies and Prototypes, Juha Riissanen, Data Scientist, Team Lead
Juha told about how Helen tested and chose from a range of different domains and tools that were in use in the company in 2018.
