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The companies Hyperion and Sensohive were chosen as winners of the Transmission Construction Automation NewTech Challenge, with which Iberdrola sought solutions to optimise the construction of electricity transport facilities, improving the efficiency and productivity of the different processes. In order to learn a little more about them, while delving deeper into their projects and finding out what their challenges and aspirations are, we spoke to the people in charge.
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Facebook Meet the winners of the NewTech Challenge for the optimisation of electricity transport facilities
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Twitter Meet the winners of the NewTech Challenge for the optimisation of electricity transport facilities
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Linkedin Meet the winners of the NewTech Challenge for the optimisation of electricity transport facilities
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As electricity systems become increasingly decentralised, digital and interconnected, the ability to automate agreements securely and in real time is becoming ever more important. In this context, smart contracts – self-executing digital agreements powered by blockchain technology – are emerging as a valuable tool for improving efficiency, transparency and trust across the entire energy value chain.
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Successive digital innovations in the 21st century have driven cloud computing technology, which allows remote access to different software via the Internet.
A smart meter provides detailed information on consumption in order to reduce electricity bills and also increase knowledge about the status of the electricity grid, which improves its performance and the quality of service for customers. As part of the evolution towards a smart grid, Iberdrola has installed and continues to install millions of these devices in all the countries in which it operates distribution networks.
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Humans use our eyes to understand the world around us. Artificial vision is a scientific discipline that aims to enable computers to achieve the same capacity, i.e. it tries to ensure that machines can perceive and understand one or more images and act in a certain way. Below, we review some of its applications.
Predictive analytics uses statistical modelling techniques, big data and machine learning to extract historical data and make predictions. In the business world, it is a highly valued technique because of the benefits it can bring in terms of identifying risks and opportunities, for example. Its application ranges from e-commerce to energy, finance and insurance, among others.



