Goal
To empower mid-range energy companies to make better decisions by delivering AI and bespoke solutions to analyse the enormous amount of available Energy data.
Projects and Applications
Applications
WattCost Settlement System
WattCost was created to gather and republish publicly available data in a more centralised and accessible platform with bespoke dashboards. With a view to utilise machine learning for certain applications and services (e.g., demand forecasts). The first project was to pull settlement data from public sources like Elexon, LCCC and DNO charging statements and create a shadow settlements system that allows small suppliers to sense check their electricity bills. Some of the data sources have 100s of millions of rows (Line Loss Factors) which made this a challenging project.
PowerStation
The PowerStation dashboard was built to deliver decision support information to participants in the Irish ISEM market. The system automatically using Microservices pulls data from SEMO, SEMOpx and Eirgrid and stores the data into an Azure SQL server database. Auctions - The Day-Ahead Market is for single pan-European energy trading for scheduling bids and offers. The data is captured from the daily auctions. Intraday Continuous Market - Collects data from the Intraday Continuous Market which operates 365 days a year. Unit Data - Detailed analysis of the trading activities right down to unit level. Weather and Wind Data - Captures the weather and Wind data every 15 minutes. Demand, Generation and Interconnector Data - Collects all the relevant data and the tools to analyse and make the right decisions.
What do we offer?
Services
Gather Info
Gather and republish publicly available data in a more centralised and accessible platform and bespoke dashboards.
AI
utilise machine learning for certain applications and services (e.g. demand forecasts). One of the main uses for AI and Machine Learning in the the energy sector has been to improve predictions of supply and demand. Developing a greater understanding of both when renewable power is available and when it's needed is crucial for next-generation power systems.
Manage
hold and manage licenced price data for clients with appropriate data licences (e.g. exchange price data)
Free
Provide a certain amount of information “free to air” for example price forecast data allowing optimisation of domestic batteries