Data science and machine learning

Data science and machine learning

Bringing insight to complex data

The environmental and energy challenges that the world is facing are becoming more complex. At the same time, there is more data available than ever before to help understand and address these challenges. Navigating a clear path through this data is challenging without the right tools and domain-specific expertise.

Ricardo has developed a suite of advanced machine learning tools to provide governments and businesses with more and better insights to help them solve their most pressing problems. By coupling these tools with our domain-specific expertise across a very broad range of energy and environmental topics, we are able to provide our clients with novel insights to aid better decision-making.

Examples of our services include:

  • RapidAir® – a modelling tool to optimise complex pollution abatement strategies with unrivalled power and speed.
  • Energy Data Integration System (EDIS) –  a powerful data aggregation and manipulation tool that provides rapid intelligence to support decision-making, intervention strategies and business planning.
  • Geographic information systems (GIS) solutions  for environmental decision-making – leveraging the power of spatial data to tackle some of the biggest environmental challenges facing our world.
  • Celsius  – a data management and analysis system for electricity networks. The tool helps distribution network operators to maximise the efficiency of their network and identify opportunities to improve energy network capacity.