The bias-variance trade-off is a fundamental concept in machine learning and statistics that refers to the trade-off between a model’s ability to fit the training data well (low bias) and its ability to generalise to unseen data (low variance).
Electrical site surveys are instrumental to a successful energy management project. By understanding the assets, network infrastructure and requirements of a facility, we can accurately plan and roadmap a high-impact energy analytics and industrial IoT project.
Hark’s capabilities will expand SolarEdge’s monitoring and energy management offering to the Commercial and Industrial segment
The internet of things (IoT) is best known for unlocking new business opportunities by transforming the way people and machines work. In today’s world, data is the key to a business’s success; IoT deployments can provide critical data to any device such as a phone, tablet or computer within seconds to help businesses improve performance.
Contents The benefits of smart buildings for facilities managers Smart buildings provide a heap of benefits for facilities managers. Smart buildings can help reduce the workload
All Systems Operational Contents Why are smart buildings important? The adoption of smart buildings is important for a variety of reasons. For one, smart buildings can greatly improve
All Systems Operational Contents What is a ‘smart building’? A smart building, also known as a connected or intelligent building, is a structure that uses
Last week, we took a trip to the London ExCel Centre for EMEX, the net zero and energy management expo. The event this year stood out in a way that previous years couldn’t have; the pressure of the energy crisis added a resounding feeling to the event which spurred some important conversations. I wanted to write something to reflect on some of the excellent questions, demos and chats that took place on the Hark wind turbine stand (as seen in the video below).
Hark Systems Ltd will provide expertise and consultancy to design the NHS Property Services Smarter Buildings Program.
When developing and deploying machine learning models, it’s important that we split the dataset into ‘train’, ‘validation’, and ‘test’ datasets. This protects against an overfitted model, and helps ensure results are generalised. In this blog post we will look in to how to split the data, and why.
The causes of climate change are multiple. In this post, we’ve curated some of the stats specifically around the consumption of energy in the world’s buildings and building sector…
Castell Safety International, a UK company with a rich history dating back to 1922, has partnered with Hark to further develop its loading bay safety system, Salvo. This partnership has enabled a complete solution for Castell customers, by introducing IoT software into the mix.
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