Save energy, save money, save the planet
Digital technologies are an important piece of the puzzle in the fight against climate change. In recent years, smart meters have been promoted by the government as a way of cutting energy bills and emissions in homes and businesses across the country. Consumers appear to be on board, with four out of five people with a smart meter reporting that it gives them a better idea of their energy costs, and possible savings to individual homes of up to £250 per year.
The digitalisation of energy infrastructure also marks a significant move towards greater efficiencies, through flexible, green energy consumption. A crucial link in this chain is data analysis of energy use, so that utilities companies can better understand demand cycles and patterns in behaviour, and meet energy needs via sustainable sources.
Harrogate-based Chameleon Technology provides feedback to consumers on their real-time energy data, gathered from their smart meters. This enables individuals – whether homeowners or businesses – to optimise their energy usage, make savings, and help the country meet climate change targets.
The availability of real-time energy consumption data will facilitate the transition to renewable energy sources, by helping utilities companies to better integrate renewable power into the grid. For individual households, smart meters and in-home displays allow users to see and understand when and how they use energy in the home, so they can keep track of what they are spending.
Chameleon Technology has been producing smart in-home displays since 2010, and they are now the most widely distributed of any provider in the UK. The functionality of their devices includes budget setting, pre-payment options, messaging and cloud connectivity.
In addition, the company’s I•VIE platform uses machine learning to generate personalised insights into an individual home’s energy consumption. This will become particularly impactful with the advent of fully connected homes, where buildings have the capacity to generate and store their own energy, which they can then sell back to the grid or to local communities. Such insights will make it possible to consume energy at the best possible price, and even set preferences around the kinds of energy a homeowner wishes to use.
This kind of IoT connectivity, data analysis, and machine learning-driven insights will help every consumer to lead a more energy efficient – and ultimately, greener – life. It truly demonstrates the benefit of greater connectivity for personalisation, improved efficiency, and cost savings.
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