Market strategy optimization
The day-ahead optimal bidding strategy of an energy storage system leads to significant extra profit via calculating the optimal arbitrage in the day-ahead market, and can be combined with other assets such as PV.
Products
Using state-of-the-art machine learning and optimization models, our products are invaluable assets for decision-making in short-term electricity markets.
The set of our readily deployable solutions cover a broad range of use cases and can be accessed in various formats to ensure seamless integration for all electricity market participants.
Plug & play energy hub models
Combine the models of various physical assets to rapidly build a portfolio of assets and optimize their dipatch.
Automated execution
Execute the optimal strategy in a fully automated fashion due to our M2M interface with the markets and the asset's EMS.
Market position
optimization
Optimize the asset specific bidding strategy on multiple markets to maximize profit, taking into account the physical constraints.
Tailored
market sentiment
Obtain insights into market sentiment at a higher level, specifically filtered for products and specific markets.
Price impact of
energy news
Establish connections between news, market sentiment, and prices to gain valuable insights on their impact.
Filtered and categorized
news feed
Access relevant news sources in one location where we collect, prepare, and augment them with indicators of impact and relevance.
Don't hesitate to contact us
Would you be interested in observing how sight-E's solutions can benefit your business goals? Please reach out to us, and we would be delighted to showcase their practical application.
In case you encounter any difficulties and require expert assistance, please do not hesitate to contact us.
sight-E analytics Kft.
Budapest, PannĂ³nia u. 11, 1136, Hungary (Office)
Budapest, Ipar Street 7. 7th floor, door 4, 1095, Hungary (Postal address)
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