Asset Optimization Manager
Liviu strategically deploys short-term price and imbalance forecasting services to optimize the dispatch of flexible energy assets and maximize revenues.
Forecasting
Fluxsmart offers its clients energy load forecasting-as-a-service using state of the art machine learning algorithms within the day-ahead and intraday and trading cycles. Production asset owners benefit from 20% lower imbalance penalties, and traders benefit from high quality predictive indicators such as balancing market/intraday interval differentials in real time to improve trading outcomes.
Big Data custom modelling
Fluxsmart uses large amounts of different external big data sources (e.g. weather data, import country and in- country load & consumption data etc) to make market price and asset production forecasts that enable better trading decisions. Clients may also introduce their own data sources and design their own self learning models using our cloud based platform.
Asset Optimisation
Fluxsmart offers short-term price and volume forecasting services using machine learning algorithms. Customers use this information to optimally dispatch flexible energy assets throughout the short-term trading cycle to increase performance.