In these communications, utilities can share easy-to-digest home energy reports along with recommendations for specific behavioral changes that, in turn, support grid balancing and reliability.Īdvice For Choosing User-Friendly Visualization ToolsĪll utilities should prioritize continuous improvements in grid reliability, resilience and planning, making grid visualization a particularly important area of focus. Through grid visualization, utilities can track real-time consumption activity (down to the appliance) for individual households and deliver hyper-personalized communications to each customer through cost-effective digital tools. With insights garnered from data visualization, utilities can be empowered to expedite decision-making for congestion management and investment planning, for example.Įnergy customers themselves have also evolved to become a crucial part of the grid. The emergence of new renewable energy providers, virtual power plants and even community choice aggregation programs is also making energy markets more competitive. The benefits of both are wide, including better grid stability and reliability as well as optimized marketing programs, reduced operational costs and higher customer satisfaction. When applied across the organization, grid visualization can be a valuable tool in enhancing grid management and enabling more accurate customer segmentation and targeting. ![]() Now, utilities can forecast load based on grid assets rather than large segments for better accuracy. This approach can also garner insights at the grid asset level, like a specific feeder or substation, where a utility could see EV loads on a specific feeder, for example. ![]() These insights can then be aggregated across multiple customer types. Through a combination of artificial intelligence (AI) tools and smart meter data, utilities can apply advanced analytics to discern energy use based on individual appliances within a home. For utilities, a bottom-up approach would begin by looking at data at the individual home consumption level and then dissecting it piece by piece based on obvious consumption patterns.
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