
Large Language Models in Energy and Buildings – Recent Perspectives
Perspectives Large language models (LLMs) have rapidly become one of the hottest topics across industries, and the building and energy domains are no exception. Over
Obtaining detailed and comprehensive reports on building energy consumption is time-consuming and financially demanding.
With Building Energy Insights, users can upload data and instantly receive comprehensive AI-powered recommendations based on benchmarks.
Building Energy Insights will help analyze new savings opportunities across the building portfolio and enable clear reporting.
Facility managers get an immediate overview of the data of the entire portfolio of the buildings with minimal effort.
Building Energy Insights enables energy auditors to analyze Level 1 and Level 2 EEMs.
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Perspectives Large language models (LLMs) have rapidly become one of the hottest topics across industries, and the building and energy domains are no exception. Over

In the realm of energy data evaluation, machine learning models have unlocked significant potential. These tools support everything from energy conservation analysis to anomaly detection

Some years ago, there was an energy-saving modernization project on a building in the Czech Republic. Manual HVAC controls were replaced by a modern automation

As electric vehicles (EVs) become more common, managing their charging demand presents new challenges – especially in buildings with limited grid connections. In this week’s

Energy Twin and the University Centre for Energy Efficient Buildings (UCEEB) of Czech Technical University in Prague explored the rising importance of load-side flexibility in today’s dynamic energy systems.

Energy savings are a cornerstone of any robust ESG strategy, driving both environmental responsibility and financial performance. At Energy Twin, we leverage advanced AI to