Our deep understanding of The Energy Landscape give us a true understanding of the Machine learning DataScience techniques used in todays Energy organisations from Production, Storage, TSO/DSO's Supply & Trading Operations.

 

Our Market Intelligence gives us true understanding of the candidate market space allowing us to approach candidates within The Energy Landscape, but also with the Machine Learning & DataScience Modelling and research techniques used in todays Energy Transition. 

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Our Focus Areas: 

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• NILM Non Intrusive Load Monitoring forecasting.

• Trading Execution Modelling or DMA.

• Power Trading from Intraday to Medium Long Term.

• Forecast modelling in Load, Balancing & Pricing.

• Forecasting models on various Energy Exchanges.

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Various Machine learning techniques in The Following:

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• Supervised.

• Unsupervised

• Semi supervised. 

• Reinforcement learning.

• Various statistical techniques

• Functional programming languages in R,F#,Scala & Python

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