Case Study - Applying Machine Learning to Identify Impact of Covid on Energy Use

Posted by John Petze – Wed 29 Sep


We are excited to publish a new case study by the Energy Twin team demonstrating how they applied machine learning in SkySpark to detect and analyze the energy use impact of Covid related changes to building operations. During the pandemic, buildings were exposed to nonstandard regimes (reduced number of occupants, non-stop ventilation, total lockdown, etc.). Valuable data were measured by BMS systems. Analysis of these data provide valuable knowledge about the effectiveness of setback regimes.

It's a timely and informative application of SkySpark and ML techniques to support improved facility operations.

Find the case study - Evaluation of Covid 19 Impacts on Energy Consumption Using Energy Twin Machine Learning in SkySpark here

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SkyFoundry Insider Sep 21: What’s New? – GhG App, Haxall, Case Studies, SkyPosium & More

Posted by John Petze – Mon 16 Aug


It's been a very busy and productive spring and summer here at SkyFoundry. You’re going to want to see these important product additions, case studies, white papers and announcements.

  • All-New GhG App Makes It Easy to Calculate, Track and Report Greenhouse Gas Performance
  • New Case Studies Demonstrate the Success of SkySpark in All Types of Applications
  • SkyFoundry Open Sources Core Software to Accelerate the IoT
  • SkySpark’s Role in Achieving the Promise of Digital Twins for the Built Environment
  • SkyPosium 2021 – The Event for the Entire SkyFoundry Community

Find the September 2021 Insider at this link

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Case Study - Analytics in Action at the University of British Columbia

Posted by John Petze – Tue 20 Jul


SkyFoundry is excited to announce a comprehensive new case study - Analytics in Action at the University of British Columbia, UBC’s Pathway to Driving Value from Big Data

The case study, based on recent presentation by UBC on a webinar hosted by Yorkland Controls, highlights the multi-year deployment of SkySpark to the energy, control, and equipment systems across the UBC campus.

The case study provides detailed examples of analytics use cases and the technical and financial results achieved. SkySpark has become an invaluable part of the UBC conservation group’s efforts, generating more than $10 million per year in recurring savings*. It’s truly an exciting and informative read. Find the UBC Case Study here

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Real World Application of Machine Learning in SkySpark - Energy Twin: Monitoring Based Commissioning

Posted by John Petze – Tue 6 Jul


Machine Learning and other AI-based techniques continue to gain attention as they are applied to real world challenges. In the field of analytics in the built environment, SkySpark has employed a range of AI techniques since its introduction – well before the terms were hot. The foundation of SkySpark is its pattern recognition capability and technology to manage and interpret “graph” relationships between data, devices and equipment systems.

Real world examples are the best way to highlight how these technologies actually deliver value to facility operators and we are excited to publish a case study, Energy Twin: SkySpark-based Machine Learning for Monitoring-Based Commissioning. Developed and implemented fully in SkySpark, Energy Twin, is a machine learning application for energy consumption analysis that reveals areas for energy use reductions and system optimization.

In this case study, the Energy Twin team, a SkyFoundry partner, showcases their work in applying these advanced techniques to monitoring based commissioning. Access the Energy Twin case study here

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SkyFoundry Introduces New App to Calculate, Track and Report Greenhouse Gas (GhG) Performance

Posted by John Petze – Thu 17 Jun


We are excited to introduce a new SkySpark App focused on Greenhouse Gas Performance. The new GhG App allows greenhouse gas emissions to be easily calculated from energy consumption data.

Read the official GhG App Press Release here

The GhG App provides the ability to look up emission-source data available online from government agencies to simplify the configuration of location-specific emission factors to enable accurate GhG calculations. Examples of online resources that have been integrated include the US Environmental Protection Agency Emissions & Generation Resource Integrated Database (eGrid) for individual eGrid subregions (searchable via zip code or individual states/territories), and the US Environmental Protection Agency Emission Factors Hub for Natural Gas and Propane. If a source for a specific location or fuel type is not available via an online resource, an emission source and conversion factors can be defined manually. Once an emission source is created, it is easily associated with the device that measures consumption data, such as an electric meter or gas meter.

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The Haxall Initiative - SkyFoundry Open Sources Core Software to Accelerate the BIoT

Posted by John Petze – Mon 7 Jun


SkyFoundry has formally announced the release of Haxall, our new initiative that open sources many of SkySpark’s core software modules. We are open sourcing these proven software components will streamline development and reduce the cost of creating IoT devices for the built environment (BIoT). We believe this will directly help to accelerate the transition to data-driven, intelligent buildings.

To read Haxall Press Release click here

What Is Haxall

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Case Study - Applying Analytics in the Denver Colorado Xcel Energy District Energy System

Posted by Sharon Lo – Tue 1 Jun

We are excited to publish a new case study that explores the application of data analytics in a district energy system.

Xcel Energy owns and operates a district energy system in downtown Denver offering steam heating and chilled water cooling to a variety of large customers. With the support of SkyFoundry partner Group 14 Engineering, Xcel Energy deployed analytics software using near real-time data from the entire system—resulting in a variety of benefits.

To read the case study click here.

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Haystack Magazine 10th Anniversary Edition - Spring 2021 is Now Available

Posted by John Petze – Thu 29 Apr


We are excited to inform the community of the publication of the Spring 2021 Haystack Connections Magazine! This issue commemorates the 10th Anniversary of Project Haystack, founded in March 2011, and highlights the continued advancement of the Haystack standard and the commitment of the community to further enhance the value the Haystack semantic tagging standard brings to the built environment.

Articles highlight new releases of Haystack 4 technology, new corporate members of the Haystack organization, a new JSON encoding standard, new advertisers and supporters, Haystack tagging in Niagara, Data Standardization for Retail applications, Working Group updates, detailed information on the upcoming Haystack Connect 2021 event which will be held online May 4-6, and a retrospective on past Haystack Connect conferences.

Find the latest issue of Haystack Connections here

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Case Study - Data Analytics: Key Strategies to Manage Energy Costs in Cannabis Grow Facilities

Posted by Sharon Lo – Mon 19 Apr

We are excited to publish a new case study that explores the use of data analytics to manage energy costs in Cannabis grow facilities. These sophisticated indoor agriculture facilities are one of the most energy-intensive segments across regulated and competitive markets in North America.

SkyFoundry partner GrowFit Analytics shares expert insight into how the application of data analytics brings myriad benefits to this expanding industry.

To read the case study click here.

For more information on GrowFit Analytics, visit:

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SkyFoundry and Distributed Architecture Featured on the Harbor Research Podcast

Posted by Sharon Lo – Wed 7 Apr


In an increasingly interconnected world, the need for a diverse range of systems to communicate and interact with one another has grown exponentially. For those managing the systems, this raises the question of how and where to structure and process the vast quantities of data being generated. While many will initially look to either Cloud Computing or Edge Computing, neither one is capable of fully addressing the complexity of this issue alone.

This is where a distributed architecture comes in. A distributed computing environment allows for multiple computing nodes connected together to share data and communicate with each other, and execute functions at all levels of the system, from the Edge to the Cloud. It is where benefits of both Cloud and Edge Computing intersect, a key requirement to effectively derive value from the data produced by the IoT.

SkyFoundry’s John Petze recently joined President of Harbor Research Glen Allmendinger for an in-depth discussion on distributed architectures and Edge-to-Cloud IoT architectures. An internationally recognized research, technology and business development consulting firm, Harbor Research has predicted, tracked and driven the development of the Internet of Things for the past 30 years.

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