Development of customized features or reports to match your exact requirements.
Integration of additional data sources or platforms for comprehensive analysis.
Modifications to interfaces to support your specific workflows.
Ongoing collaboration to refine, expand, and optimize custom solutions.
Enhance your analytics with an AI-driven layer.
Creation of custom KPIs tailored to your portfolio, providing insights that matter most to your operations.
Personalized consultations with energy experts to align solutions with your goals.
In-depth analysis of your building portfolio’s performance.
Tailored recommendations for identifying and implementing energy-saving opportunities.
Guidance on integrating data insights into your broader sustainability initiatives.
AI for Main Electricity Meter Analysis: The Basics Artificial Intelligence (AI) is revolutionizing energy analysis by turning granular smart meter data into actionable insights. It
It’s always good practice to double-check your input data before diving into analysis. Sometimes you’ll catch small inconsistencies — and sometimes, you’ll uncover something more
Author Jan Siroky View all posts
At Energy Twin, we’ve been working on a research project exploring how machine learning can be used for general fault detection. Like any good research,
Companies often understand the importance of deploying smart meters and getting data online. They see it as a key milestone—and while it is, it’s only
Detecting anomalies in energy data is key to optimizing consumption, reducing costs, and ensuring building systems run efficiently. With the vast amount of data from
