{"id":4739,"date":"2024-07-02T16:20:39","date_gmt":"2024-07-02T20:20:39","guid":{"rendered":"https:\/\/sense.com\/?post_type=resource-center&#038;p=4739"},"modified":"2025-07-31T15:23:59","modified_gmt":"2025-07-31T19:23:59","slug":"4-things-you-need-to-know-before-you-select-your-next-smart-meter","status":"publish","type":"resources","link":"https:\/\/sense.com\/resources\/4-things-you-need-to-know-before-you-select-your-next-smart-meter\/","title":{"rendered":"4 Things You Need to Know Before You Select Your Next Smart Meter"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Investing in technology is never a simple decision\u2014especially when that technology is expected to last for 15+ years, like smart meters. The stakes are high: the energy transition is happening now and will continue throughout the lifespan of the meters being installed today. It\u2019s a critical choice. Choose the wrong technology, and you risk being left with outdated capabilities, unable to adapt to the evolving needs of the grid.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It\u2019s a lesson that is still fresh in the minds of utility decision-makers after first-generation smart meters fell well short of their promises. While some incremental improvements have followed, next-generation meters are driving a real transformation. No longer just data collectors, these <\/span><b>software-driven platforms<\/b><span style=\"font-weight: 400;\"> are changing how we manage the grid in real time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">So, what makes a smart meter AMI 2.0? It comes down to four key capabilities<\/span><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computation, memory, and storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Networking<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Software and security<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Here\u2019s a closer look at each.<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-4642 lazyload\" data-src=\"https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Graphic-Elements.png\" alt=\"\" width=\"694\" height=\"230\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 694px; --smush-placeholder-aspect-ratio: 694\/230;\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The first wave of smart meters introduced 15-minute interval data, but that wasn\u2019t enough to deliver meaningful insights. Today\u2019s energy systems require significantly higher resolution to track device-level consumption in homes and detect anomalies across the grid.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AMI 2.0 meters with embedded intelligence can now process 50 million times more data than the first generation of smart meters. This dramatic increase in data provides a detailed, real-time view of devices in the home (real-time load disaggregation), along with a comprehensive, real-time view of the entire distribution grid. By analyzing subtle variations in voltage and current waveforms, these advanced meters can detect and localize operational issues\u2014like transformers arcing or vegetation brushing against power lines\u2014before they cause outages or equipment damage.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To deliver these capabilities, AMI 2.0 meters should have<\/span>:<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Continuous sampling of voltage and current waveforms at a minimum of 15,000 samples per second<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Raw energy data accessible to the application processor\u2014not just summarized information<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Synchronous sampling of voltage and current<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Linear quantization with at least 16-bit resolution for current and 14-bit or greater resolution for voltage<\/span><\/li>\n<\/ul>\n<h4>Real-Time Data Matters<\/h4>\n<p><span style=\"font-weight: 400;\">Think about Google Maps\u2014you don\u2019t want traffic updates from 30 minutes ago; you need them now. The same goes for energy data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For consumers: Device feedback should appear in under a second. Delays of more than a second make it hard for users to connect their actions\u2014like turning on a device\u2014to what they see in an app.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For the grid: The definition of \u201creal-time\u201d varies by application. Planning and operations can often work with data that&#8217;s minutes old. But critical tasks like downed wire detection and cutoff require response times in the hundreds of milliseconds, and for grid services involving DERs, delays need to be no more than a few milliseconds<\/span><span style=\"font-size: revert; color: initial;\">.<\/span><\/p>\n<p><a name=\"computation\"><\/a><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-4664 lazyload\" data-src=\"https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Group-505-1-768x348.png\" alt=\"\" width=\"768\" height=\"348\" data-srcset=\"https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Group-505-1-768x348.png 768w, https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Group-505-1-1280x579.png 1280w, https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Group-505-1-1536x695.png 1536w, https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Group-505-1.png 1637w\" data-sizes=\"(max-width: 768px) 100vw, 768px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 768px; --smush-placeholder-aspect-ratio: 768\/348;\" \/><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-4673 lazyload\" data-src=\"https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Graphic-Elements2.png\" alt=\"\" width=\"694\" height=\"230\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 694px; --smush-placeholder-aspect-ratio: 694\/230;\" \/><\/p>\n<p><span style=\"font-weight: 400;\">With <\/span><b>50 million times<\/b><span style=\"font-weight: 400;\"> more data, transmitting everything to a centralized cloud isn\u2019t feasible. Instead, AMI 2.0 shifts intelligence <\/span><b>to the edge<\/b><span style=\"font-weight: 400;\">, leveraging embedded processing for instant insights and operational efficiencies.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This shift is made possible by advancements in the mobile phone industry, which has dramatically increased computation capabilities and energy efficiency while driving down costs. Modern processors now include hardware accelerators capable of running AI models locally and processing high data rates in real time.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">AMI 2.0 meters leverage these advanced processors through a distributed software model, where much of the processing happens locally on the meter\u2014combined with networking and cloud-side processing where appropriate.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To deliver these capabilities, your AMI 2.0 meter should have<\/span>:<\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">1000 DMIPS CPU processing power<\/span><\/li>\n<li>256MB RAM memory<\/li>\n<li><span style=\"font-weight: 400;\">1GB Flash storage or other storage<\/span><\/li>\n<li><\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-4675 lazyload\" data-src=\"https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Graphic-Elements3.png\" alt=\"\" width=\"694\" height=\"230\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 694px; --smush-placeholder-aspect-ratio: 694\/230;\" \/><\/p>\n<p><span style=\"font-weight: 400;\">A distributed computing model reduces the <\/span><b>strain on utility networks<\/b><span style=\"font-weight: 400;\">, but reliable connectivity remains essential. While many applications can function with modest bandwidth, others\u2014like real-time DER coordination, voltage optimization, and outage detection\u2014depend on rapid, low-latency communication.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To meet these demands, your AMI 2.0 meter should support<\/span>:<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>30-100MB\/day<\/b><span style=\"font-weight: 400;\"> of non-real-time data transfer (from meter to cloud)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Low-latency (&lt;750ms round trip)<\/b><span style=\"font-weight: 400;\"> for real-time applications requiring rapid control signals<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Local home network access (WiFi\/Ethernet)<\/b><span style=\"font-weight: 400;\"> to enable seamless smart home devices<\/span><\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-4677 lazyload\" data-src=\"https:\/\/sense.com\/wp-content\/uploads\/2024\/06\/Graphic-Elements4.png\" alt=\"\" width=\"694\" height=\"230\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 694px; --smush-placeholder-aspect-ratio: 694\/230;\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The energy landscape is changing rapidly. So is technology. AI-driven analytics, grid-edge computing, and software-based automation will become the norm. To keep pace, smart meters need <\/span><b>upgradable, adaptable<\/b><span style=\"font-weight: 400;\"> software architectures.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To support modern software stacks\u2014including machine learning and AI\u2014your AMI 2.0 meter should provide<\/span><span style=\"font-size: revert; color: initial;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Secure over-the-air (OTA) software updates<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Native-level access to computational resources<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multi-threading support<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Security to protect meter functions<\/b><span style=\"font-weight: 400;\"> from consumer software and to provide data privacy for consumer data<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">With these capabilities, meters stay relevant and adaptable\u2014ensuring your investment supports the grid\u2019s future needs.<\/span><\/p>\n<h4>Final Takeaway: Future-Proof or Fall Behind<\/h4>\n<p><span style=\"font-weight: 400;\">AMI 2.0 isn\u2019t just an incremental upgrade\u2014it\u2019s a shift in how we manage energy. These advancements are built on <\/span><b>proven, mature technologies<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-size: revert; color: initial;\"><span style=\"font-weight: 400;\">Watch out for <\/span><b>\u201cgood enough\u201d<\/b><span style=\"font-weight: 400;\"> or \u201c<\/span><b>near real-time<\/b><span style=\"font-weight: 400;\">\u201d solutions that lack high-resolution data, robust edge computing, or scalable software. The meters you deploy today will define your utility\u2019s capabilities for the next two decades\u2014invest wisely to stay ahead of the curve<\/span>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Making an investment in technology is never easy. But when that technology is expected to last 15+ years, like smart meters, the stakes are much higher.<\/p>\n","protected":false},"featured_media":9171,"template":"","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"1","_relevanssi_noindex_reason":""},"content-type":[13],"featured":[16],"resource-center-category":[18],"class_list":["post-4739","resources","type-resources","status-publish","has-post-thumbnail","hentry","content-type-article","featured-featured","resource-center-category-technology"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>4 Things You Need to Know Before You Select Your Next Smart Meter - Sense<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sense.com\/resources\/4-things-you-need-to-know-before-you-select-your-next-smart-meter\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"4 Things You Need to Know Before You Select Your Next Smart Meter - Sense\" \/>\n<meta property=\"og:description\" content=\"Making an investment in technology is never easy. 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