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Unlocking smart meter data for research

Smart Energy International

James O’Toole explains how the UK’s Smart Energy Research Lab is enabling researcher access to smart meter data. With over 21 million smart gas and electric meters now in Great Britain’s homes, there is a growing wealth of half-hourly and daily domestic energy use data available to those who can access it.

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What energy data is of most interest and why?

Smart Energy International

More and higher resolution data on Britain’s energy system is the demand of users of National Grid Electricity Distribution’s ‘presumed open’ datasets. In conjunction with the currently available data, data users were also requesting National Grid Electricity Distribution about making more data openly available. Have you read?

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Transforming Customer Segmentation with the Power of AI

Bidgely

Learn more about how you can integrate Bidgely’s AI-powered customer profiling and segmentation capability into your operations to generate greater ROI from your AMI investment by downloading our Data Science Lab’s AI-Powered Customer Segmentation for Utilities white paper.

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Better Grid Management Through AI-Powered EV Managed Charging Program Targeting & Engagement

Bidgely

In most parts of the United States and the world, electric vehicle adoption has not yet reached levels where EV charging is detrimental to grid operations. We already have 70,000 electric vehicles on the road in Washington State. When people come home, they turn on their AC, the TV — all of these appliances.

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Energy Analytics: The Power to Reach Net Zero

Bidgely

These companies are deeply invested in diversifying their energy sources, embracing energy efficiency, evolving their business models, and fully transitioning. Consumers themselves are realizing that the way they use energy is proving to be unsustainable. They are leading by example.

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Download EV Charging Product Guide for designing safer, more efficient and reliable charging stations

Charged

The adoption of electric and hybrid electric vehicles depends on a network of charging stations. Consumers don’t want to run out of juice in a place where they cannot recharge their vehicles. This in turn depends on high-power charging stations having more than 50 kW of charging power which are relatively more expensive.

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Leveraging AMI Data for Successful Time-Based Rate Implementation, Load Shaping, and CX

Bidgely

This urgent need to shift load is one of the major factors driving the transition from flat, volumetric rates to time-based residential rate structures that incentivize consumers to align their energy use with times of greatest supply and lowest cost generation. AMI-Informed TOU Rate Programs in Practice: Electric Vehicles.