April 1, 2022 Eliq solves major energy energy insights problem with new feature Solar panels, or photovoltaics (PV) are leading the energy transition as it is the fastest-growing renewable energy source today1. Alongside rising energy prices and an increased desire among consumers to cut their carbon footprint, public incentive schemes and falling panel costs are helping to convince households to install PV systems in order to reduce their energy consumption and bills. However, high-penetration rates of PV systems being installed ‘behind the meter’ poses new challenges for utilities and other service providers to develop low-cost techniques for helping customers monitor the electricity generated and consumed. Typically, when a household installs a PV system, service providers only have access to data that measures how much they import and export from the grid. This makes it impossible to understand the total electricity consumption of the home, rendering energy insight tools such as mobile apps ineffective, sometimes almost useless. This is a global challenge that many providers and customers are facing. To address these challenges, Eliq has developed its PV Disaggregation technology. This new feature will estimate how much energy a household has produced and consumed purely based on data from their utility smart meter. This makes it possible to follow the produced energy over time and calculate a home’s self-consumption – without any hardware integration as well as analysing the energy consumption with insights like forecasting, similar homes comparison and breakdown of energy usage. Read more about PV disaggregation “Counter-intuitively, energy apps from utility companies are usually less useful for homes with solar panels, whilst those users often are most interested in such apps, This is a lost opportunity and we want to help our clients change that”. – Olof Hartelius | Co-founder and Chief Technology Officer, Eliq Available as part of Eliq’s Energy Insights API, PV Disaggregation offers energy providers a revolutionary way to tap into this data and provide their customers with reliable and concise information, not just about their PV systems, but about their consumption too. Using the Eliq Energy Insights API for this feature is simple and only requires two things. Service providers need to submit their users’ location information (postal code) as well as the imported and exported energy amount in 15 mins, 30 mins or one-hour increments for the particular period into the Eliq platform, which are the resolutions provided by smart meters without additional equipment. This data enables the algorithm to estimate the maximum solar energy curve on a clear sky day, and then using machine learning techniques based on the import/export profile and weather data, to calculate the actual consumption and production at the property. Read more about PV Disaggregation or schedule your live demo today. To access our brand guidelines please see our media kit page Similar Posts:Introducing load-shift capabilities for smart thermostats Previous Next