Our CEO, Jan Široký, is joining SkyFoundry’s SkyDive series for its final episode on 27th April 2023. Don’t miss out on his talk about using SkySpark’s KPI app to measure building performance using ML model and using SkySpark’s Spark app to visualize when prediction errors occur.
Energy Twin joined the Big Data Alliance, a structured collaborative space to solve the practical challenges relating to building lifecycle management by combining data sets and using data analytics, and attended the 5th Big Data Alliance meeting to introduce ET to the European market.
This year, our CEO, Jan Široký attended SkyFoundry’s Skyposium in Washington, DC. One of his presentations, Machine Learning in SkySpark, was more focused on technical aspects.
Jan’s second presentation How Using AI Can Be Beneficial for Your Business – Practical Examples was more business oriented .
The first Energy Twin webinar took place on 15th September 2022. The main topic were current AI solutions in the field of energy savings and energy consumption (prediction) forecasting with real case studies, use examples in practice.
UK SkySpark community was introduced at SkyFoundry’s Loughborough conference in June 2022, where our CEO, Jan Široký, had a presentation about Machine Learning Applied to Energy Analysis. The event was focused on data-driven changemakers, highlighting features and benefits of SkySpark data analytics software.
Our CEO, Jan Široký, was a speaker at SkyFoundry’s conference in the Netherlands in June 2022 with his presentation – Machine Learning Applied to Energy Analysis. The event enabled meeting the SkySpark community in Europe and directly engaging with SkyFoundry experts to explore solutions for data applications.
In 2021, we were a part of Haystack Connect, where technologists and executives from smart buildings and the IoT talk about the importance of data for increased asset and energy efficiency. Jan Široký, Energy Twin CEO, gave a presentation about the Analysis of tagged energy data via machine learning, illustrating the importance of tags in the energy data processing.
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In our previous post, we discussed how to manage an extensive building portfolio using Energy Twin and machine learning. This time we will show you
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SkyFoundry has published a new Energy Twin case study. In this case study, we focus on the electrical energy consumption of three shopping malls during
