{"id":198,"date":"2026-10-15T10:19:24","date_gmt":"2026-10-15T08:19:24","guid":{"rendered":"https:\/\/www.lifee.ai\/blog\/2026\/10\/15\/smart-meter-energy-monitoring\/"},"modified":"2026-10-15T10:19:24","modified_gmt":"2026-10-15T08:19:24","slug":"smart-meter-energy-monitoring","status":"publish","type":"post","link":"https:\/\/www.lifee.ai\/blog\/2026\/10\/15\/smart-meter-energy-monitoring\/","title":{"rendered":"Smart Meter Energy Monitoring for Households That Want Clearer Bills"},"content":{"rendered":"<p>Your energy bill shouldn&#8217;t feel like a mystery novel. Most households receive monthly statements filled with kilowatt-hours and confusing tariffs, yet have no real insight into where their money actually goes or how to reduce consumption without guesswork. Smart meter energy monitoring changes that by turning raw usage data into actionable clarity.<\/p>\n<p>Lifee&#8217;s AI-powered automation systems help individuals and businesses track real-time consumption, identify energy waste, and optimize usage patterns through intuitive home automation, transforming vague bills into transparent, controllable expenses. This guide walks you through how smart meter monitoring works, what to look for in a solution, and practical steps to take control of your energy costs starting today.<\/p>\n<h2>What Is Smart Meter Energy Monitoring?<\/h2>\n<h3>The Evolution from Traditional to Smart Meters<\/h3>\n<p>With old-school utility meters, you would only know how much energy you used after a manual reading or an estimated bill. A smart meter records consumption electronically and communicates readings to the supplier, while a connected monitoring platform turns that information into charts, alerts, and trends that households can understand.<\/p>\n<p>The distinction matters because a smart meter and an energy monitor are not always the same thing. The meter measures and communicates usage, while the monitoring software interprets the data. <a href=\"https:\/\/www.lifee.ai\/en\/audit.php\" target=\"_blank\" rel=\"noopener\">Lifee can add an intelligent<\/a> layer that connects consumption information with household routines, connected appliances, comfort preferences, and energy-saving automation.<\/p>\n<h3>Why Smart Meter Monitoring Matters in 2026<\/h3>\n<p><a href=\"https:\/\/www.lifee.ai\/en\/automated-garden-management.php\" target=\"_blank\" rel=\"noopener\">Smart meter monitoring is becoming<\/a> a standard part of energy management rather than a niche technology. Official Great Britain statistics recorded 41 million smart and advanced meters in homes and small businesses at the end of 2025. That represented 71% of all meters, while 65% were operating in smart mode or classified as advanced meters.<\/p>\n<ul>\n<li><strong>Adoption is moving beyond pilot projects.<\/strong> The same government data recorded 2.8 million installations during 2025, showing that smart metering is now embedded in mainstream utility infrastructure. For households, this means more accessible interval data and a growing number of tariffs and demand-response services built around flexible consumption.<\/li>\n<li><strong>Smart mode determines practical usefulness.<\/strong> A meter installed physically may still operate in traditional mode if communication or system migration problems prevent automatic readings. At the end of 2025, 92.3% of smart and advanced meters were operating in smart mode or classified as advanced, but consumers should still confirm that their own meter is transmitting correctly.<\/li>\n<li><strong>Coverage is not uniform.<\/strong> Earlier 2025 government figures showed domestic smart-meter coverage varied by region, with electricity coverage ranging from roughly 60% in London to 76% in the East Midlands. A household should therefore check local availability, supplier compatibility, and whether a proposed monitor can access the relevant data format before purchasing equipment.<\/li>\n<\/ul>\n<div class=\"tip\">\n Smart meter energy monitoring is most valuable when measurement leads to a decision: identifying a wasteful appliance, shifting usage to a lower-cost period, or automating an action that prevents repeat waste.\n<\/div>\n<p>Smart meters do not automatically reduce consumption or guarantee a lower bill. They provide better information. Savings depend on the tariff, household behavior, equipment, weather, and whether the available data is converted into practical action.<\/p>\n<h2>How Smart Meter Energy Monitoring Works<\/h2>\n<h3>Inside the Smart Meter: Technology and Data Flow<\/h3>\n<p>A smart meter measures electricity or gas consumption and sends readings through the communications network used by the supplier. Depending on the country, supplier, and service, the customer may receive readings at different intervals. A dashboard may show near-real-time information, while the supplier\u2019s billing system may use consolidated half-hourly, hourly, daily, or other interval data.<\/p>\n<p>This distinction prevents a common misunderstanding: a meter may measure frequently without displaying every measurement instantly to the customer. Lifee\u2019s platform can combine supplier data with connected sensors, smart plugs, thermostats, building controls, and automation devices to create a more complete picture of what is happening inside the property.<\/p>\n<h3>From Consumption Data to a Clearer Bill<\/h3>\n<p>A bill generally reflects several variables, including energy volume, unit rates, standing charges, taxes, discounts, and billing-period dates. Monitoring is useful because it separates the amount of energy used from the price applied to that usage. If consumption rises but the tariff remains unchanged, the household can investigate behavior or equipment. If the bill rises while consumption is stable, the likely explanation may be a rate, standing-charge, tax, or billing-period change.<\/p>\n<table>\n<thead>\n<tr>\n<th>What the dashboard shows<\/th>\n<th>What it can reveal<\/th>\n<th>Useful household response<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Consumption by day or hour<\/td>\n<td>Timing patterns, peak periods, and overnight baseload<\/td>\n<td>Shift flexible activities and investigate unusual periods<\/td>\n<\/tr>\n<tr>\n<td>Cost by tariff period<\/td>\n<td>Whether time-of-use pricing affects appliance costs<\/td>\n<td>Schedule heating, laundry, charging, or dishwashing where appropriate<\/td>\n<\/tr>\n<tr>\n<td>Demand spikes<\/td>\n<td>High-load equipment or simultaneous appliance use<\/td>\n<td>Check heating, cooking, water heating, or electric-vehicle charging<\/td>\n<\/tr>\n<tr>\n<td>Baseload during absence<\/td>\n<td>Devices that continue consuming power while nobody is home<\/td>\n<td>Use standby controls, schedules, or an energy audit<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Visualizing Energy Consumption<\/h3>\n<p>Effective dashboards do more than display a line graph. They let users compare periods, annotate unusual events, set budgets, and distinguish a one-off spike from a persistent pattern. A sudden rise at 2 a.m. may indicate a space heater, immersion heater, battery charger, or fault. A steady increase over several weeks may point to colder weather, a change in occupancy, or equipment operating less efficiently.<\/p>\n<ul>\n<li><strong>Trend views support diagnosis.<\/strong> Compare the same weekday across several weeks rather than judging a single day in isolation. This helps separate normal changes, such as a cold spell, from avoidable waste.<\/li>\n<li><strong>Cost views support tariff decisions.<\/strong> Consumption alone does not reveal the financial impact of a time-of-use tariff. A smaller amount of energy used during an expensive period may cost more than a larger amount used during a cheaper period.<\/li>\n<li><strong>Appliance-level estimates need careful interpretation.<\/strong> Circuit monitors and machine-learning estimates can identify likely loads, but they are not always equivalent to a dedicated meter on every appliance. Use them to prioritize investigation, then verify important conclusions with a plug monitor, technical inspection, or measured operating cycle.<\/li>\n<\/ul>\n<div class=\"tip\">\n Review one week of normal usage before changing routines. Establishing a baseline makes it easier to measure whether an automation or appliance upgrade produced a real improvement.\n<\/div>\n<p>Privacy also deserves attention. Detailed interval data can reveal occupancy patterns, routines, and equipment use. Choose providers that explain retention, access permissions, data sharing, account security, and deletion procedures in clear language.<\/p>\n<h2>Benefits: Transparent Energy Bills and Cost Reduction<\/h2>\n<h3>What Smart Monitoring Can and Cannot Prove<\/h3>\n<p>Monitoring can show when consumption changed and help identify plausible causes, but it cannot by itself prove that one intervention caused a specific percentage reduction. Weather, occupancy, energy prices, heating settings, appliance replacement, and seasonal variation can all affect the result. The earlier example of the Wilson family reducing its bill by 18 percent should therefore be treated as an illustrative scenario, not an independently verified case study.<\/p>\n<p>Government analysis cited in parliamentary evidence estimated potential energy reductions of approximately 3.3% to 3.6% for electricity and 2.9% to 3.1% for gas in the context of smart-meter-enabled engagement. Actual outcomes vary widely. A household with electric heating and poor insulation may find larger opportunities than a small, efficient apartment with low consumption.<\/p>\n<h3>Empowering Users to Make Smart Choices<\/h3>\n<p>Once a household understands its baseline, it can focus on the largest controllable loads instead of making small changes everywhere. Heating, hot water, refrigeration, cooking, laundry, and electric-vehicle charging often deserve attention because their operating time, temperature, or power demand can materially affect consumption.<\/p>\n<ul>\n<li><strong>Start with the biggest repeatable load.<\/strong> If water heating dominates evening demand, test a safe schedule or temperature adjustment consistent with the manufacturer\u2019s guidance. Measure the result for several comparable days rather than assuming the change worked.<\/li>\n<li><strong>Use alerts as an early-warning system.<\/strong> A notification for unusually high nighttime use or a monthly budget threshold can prompt investigation before the next bill arrives. Alerts should be specific enough to trigger action rather than creating constant notification fatigue.<\/li>\n<li><strong>Separate efficiency from price shifting.<\/strong> Running an appliance at a cheaper time may reduce cost without reducing energy use. Both strategies are valid, but the household should track kilowatt-hours and money separately to understand the outcome.<\/li>\n<li><strong>Use demand response deliberately.<\/strong> Flexible tariffs and demand-response programs may reward lower use during high-demand events, but participants should check event rules, override options, contract terms, and any effect on comfort before enabling automatic control.<\/li>\n<\/ul>\n<div class=\"tip\">\n A useful monthly review asks three questions: what changed, what caused it, and what action will prevent unnecessary consumption next month?\n<\/div>\n<h2>Enhancing Smart Meter Capabilities with AI and Automation<\/h2>\n<figure class=\"in-article-image\" style=\"margin: 24px 0\"><img decoding=\"async\" src=\"https:\/\/s01.swdrive.fr\/index.php\/s\/AgebLtZ2Ro8GGGq\/download\" alt=\"Smart Meter Energy Monitoring for Households That Want Clearer Bills , Enhancing Smart Meter Capabilities with AI and Automation\" style=\"width: 100%;height: auto;border-radius: 8px;display: block\" loading=\"lazy\" \/><\/figure>\n<h3>Lifee\u2019s AI-Powered Energy Solutions<\/h3>\n<p>Lifee\u2019s intelligent systems are designed to move from observation to coordinated action. By combining consumption history with occupancy, weather, tariff, and device information, an AI layer can identify likely usage spikes, suggest interventions, and apply approved rules automatically.<\/p>\n<p>For example, Lifee could help pre-cool or pre-heat a property during a suitable lower-cost period, reduce unnecessary lighting when rooms are vacant, or recommend an investigation when a refrigerator or heating system shows an unusual pattern. The system should keep the user in control through adjustable thresholds, schedules, manual overrides, and clear explanations of why an action was recommended.<\/p>\n<h3>Smart Home Integration<\/h3>\n<p>Integration works best when devices share reliable data and operate according to explicit priorities. Comfort, safety, health, and equipment protection should come before aggressive savings. A household might permit automated dishwasher scheduling but require manual approval for heating changes, or allow an electric vehicle to charge during a flexible period while preserving a minimum departure charge.<\/p>\n<div class=\"youtube-video-embed\" style=\"margin: 20px 0\">\n <iframe loading=\"lazy\" title=\"How to Monitor Electricity Use | This Old House\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/D1jtcr2bXmI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p class=\"video-caption\" style=\"font-style: italic;text-align: center;margin-top: 10px\">Related video: How to Monitor Electricity Use | This Old House<\/p>\n<\/div>\n<ul>\n<li><strong>Contextual automation uses more than a clock.<\/strong> Lifee can account for occupancy, weather, tariff periods, solar production, and household preferences. This avoids running a fixed schedule when the home is empty or conditions have changed.<\/li>\n<li><strong>Predictive management anticipates demand.<\/strong> Historical patterns can indicate when heating, cooling, or hot-water demand is likely to rise. Acting before a peak can improve comfort while reducing reliance on expensive or carbon-intensive periods.<\/li>\n<li><strong>Human oversight improves trust.<\/strong> Residents should be able to see the trigger, expected benefit, and fallback behavior for every important automation. Explainable controls are particularly important for businesses and property managers overseeing multiple sites.<\/li>\n<\/ul>\n<div class=\"tip\">\n Begin with low-risk automations such as lighting, standby loads, and appliance scheduling. Add heating, hot water, batteries, or vehicle charging only after the system has established reliable data and clear operating boundaries.\n<\/div>\n<p>Lifee also supports custom energy-efficiency projects for individuals, businesses, and real-estate professionals. An intelligent energy audit can connect smart-meter findings with insulation priorities, equipment condition, automation opportunities, and cyber-security requirements rather than treating the meter as an isolated device.<\/p>\n<h2>Tips for Interpreting and Using Smart Meter Data<\/h2>\n<h3>Choose a Dashboard That Answers Practical Questions<\/h3>\n<p>The best monitoring tool is not necessarily the one with the most graphs. It should make it easy to answer questions such as whether the home uses energy while vacant, which loads drive peak demand, whether a change reduced consumption, and whether the bill matches the supplier\u2019s readings.<\/p>\n<ul>\n<li><strong>Check data freshness and completeness.<\/strong> Look for the timestamp of the latest reading, missing intervals, estimated values, and communication failures. A gap in data can make a normal bill appear unusual and can cause automation rules to act on incomplete information.<\/li>\n<li><strong>Confirm tariff configuration.<\/strong> Enter the correct unit rates, standing charges, taxes, export rates, and time windows where the platform supports them. A dashboard can display accurate consumption but misleading costs if its pricing information is outdated.<\/li>\n<li><strong>Compare like with like.<\/strong> Compare similar weather, occupancy, and day types whenever possible. A week with visitors or extreme temperatures should not be used as the only benchmark for a normal week.<\/li>\n<\/ul>\n<h3>Actionable Steps for Households<\/h3>\n<ol>\n<li><strong>Record a baseline.<\/strong> Observe at least one ordinary week and note heating settings, occupancy, weather, and major appliance use. This creates context for later comparisons and prevents overreacting to a single unusual day.<\/li>\n<li><strong>Locate the baseload.<\/strong> Check consumption overnight and during periods when everyone is away. Persistent demand may come from refrigeration, networking equipment, heating controls, pumps, chargers, or standby devices.<\/li>\n<li><strong>Investigate spikes safely.<\/strong> Compare the time of the spike with appliance schedules and household activity. Never open electrical equipment or bypass safety controls; use a qualified professional when wiring, boilers, consumer units, or fixed appliances need inspection.<\/li>\n<li><strong>Test one change at a time.<\/strong> Shift one flexible load, adjust one schedule, or repair one suspected appliance, then measure the effect. Controlled changes make the result easier to interpret.<\/li>\n<li><strong>Review monthly, not obsessively.<\/strong> Weekly checks are useful for anomalies, while monthly reviews reveal billing-period and seasonal patterns. The goal is sustained improvement, not constant monitoring.<\/li>\n<\/ol>\n<div class=\"tip\">\n If nighttime use rises unexpectedly, compare the interval with heating schedules, hot-water cycles, chargers, and weather conditions before assuming that the meter or bill is incorrect.\n<\/div>\n<h2>Common Concerns and Misconceptions<\/h2>\n<h3>Data Privacy and Cyber-Security<\/h3>\n<p>Smart-meter data can be sensitive because granular patterns may indicate when a property is occupied and which systems are operating. Households should ask who receives the data, how long it is retained, whether third-party integrations are optional, and how account access is protected.<\/p>\n<p>Lifee\u2019s approach should include privacy-by-design principles, strong authentication, least-privilege access, secure updates, device inventory, and clear user permissions. Businesses and property professionals may also need network segmentation, vendor risk reviews, incident-response procedures, and documented access for contractors.<\/p>\n<h3>Addressing Bill Increase Myths<\/h3>\n<p>A smart meter does not normally increase the underlying price of electricity or gas. It can make actual consumption visible where previous bills were estimated, and that first accurate bill may appear higher or lower than expected. A bill can also rise because of tariff changes, standing charges, colder weather, occupancy changes, or faulty equipment.<\/p>\n<p>When a bill looks wrong, compare the meter reading period, opening and closing readings, unit rates, standing charges, taxes, and any estimated values. If the figures still do not align, contact the supplier and retain screenshots or downloaded readings from the monitoring platform.<\/p>\n<ul>\n<li><strong>Installation is not the same as active communication.<\/strong> Confirm that the meter is operating in smart mode and that readings are reaching the supplier. This is especially important after a supplier switch or communications-network change.<\/li>\n<li><strong>Monitoring is not automatic efficiency.<\/strong> Visibility creates an opportunity to save, but savings require behavior changes, repairs, equipment upgrades, or automation. A dashboard alone cannot compensate for poor insulation or an inefficient heating system.<\/li>\n<li><strong>Automation must remain reversible.<\/strong> Every rule should have an override, a safe fallback, and a clear way to disable it. This protects comfort and avoids problems when a sensor, tariff feed, or internet connection fails.<\/li>\n<\/ul>\n<h2>When Monitoring Reveals a Building Problem<\/h2>\n<figure class=\"in-article-image\" style=\"margin: 24px 0\"><img decoding=\"async\" src=\"https:\/\/s01.swdrive.fr\/index.php\/s\/x7WNPgfmqBLHzx9\/download\" alt=\"Smart Meter Energy Monitoring for Households That Want Clearer Bills , When Monitoring Reveals a Building Problem\" style=\"width: 100%;height: auto;border-radius: 8px;display: block\" loading=\"lazy\" \/><\/figure>\n<h3>Separating Behavior from Building Performance<\/h3>\n<p>Repeated high consumption is not always caused by careless behavior. A poorly insulated building, leaking hot-water system, failing heat pump, blocked filter, inefficient refrigerator, or inaccurate thermostat can create a persistent pattern that scheduling alone will not solve.<\/p>\n<p>Lifee\u2019s intelligent energy audits can help prioritize further investigation by comparing usage with weather, occupancy, equipment runtime, and historical baselines. For landlords and property professionals, this turns meter data into a starting point for retrofit planning, maintenance, and tenant communication.<\/p>\n<h3>Turning Data Into an Investment Decision<\/h3>\n<p>Before replacing equipment, estimate the likely annual energy reduction, installation cost, maintenance implications, expected service life, and comfort benefit. Monitoring before and after the intervention provides a stronger basis for evaluating insulation, heating controls, solar generation, batteries, or appliance upgrades.<\/p>\n<table>\n<thead>\n<tr>\n<th>Observed pattern<\/th>\n<th>Possible explanation<\/th>\n<th>Next step<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>High overnight baseload<\/td>\n<td>Standby devices, heating, hot water, chargers, or pumps<\/td>\n<td>Check schedules and circuits, then measure individual loads safely<\/td>\n<\/tr>\n<tr>\n<td>Long heating runtime with little comfort improvement<\/td>\n<td>Heat loss, control problems, poor weather compensation, or equipment fault<\/td>\n<td>Review insulation and controls and arrange qualified maintenance<\/td>\n<\/tr>\n<tr>\n<td>Short, repeated demand spikes<\/td>\n<td>Kettle, shower, cooking equipment, or resistive heating<\/td>\n<td>Compare timing with household activity and tariff periods<\/td>\n<\/tr>\n<tr>\n<td>Consumption unchanged after a claimed efficiency upgrade<\/td>\n<td>Behavior rebound, weather variation, incorrect installation, or poor measurement<\/td>\n<td>Compare normalized periods and verify the equipment\u2019s operation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Frequently Asked Questions<\/h2>\n<h3>Does a smart meter show energy use in real time?<\/h3>\n<p>It measures usage at regular intervals, but the customer-facing display or app may update at a different speed. Availability depends on the supplier, communications network, device, and dashboard. Confirm the reading interval and look for missing or estimated data before interpreting a graph as live information.<\/p>\n<h3>Can smart meter monitoring lower my energy bill?<\/h3>\n<p>It can help lower costs by revealing waste, supporting tariff-aware scheduling, and enabling demand-response participation, but it does not guarantee savings. Results depend on the household\u2019s equipment, tariff, behavior, weather, and whether insights lead to action.<\/p>\n<h3>Is appliance-level monitoring always accurate?<\/h3>\n<p>Not always. Some platforms estimate appliance loads from whole-home patterns, while circuit monitors and plug-level devices measure more directly. Use appliance-level results as guidance, verify important findings, and avoid treating estimates as a technical safety diagnosis.<\/p>\n<h3>What should I do if my bill does not match the dashboard?<\/h3>\n<p>Compare the bill\u2019s opening and closing readings, billing dates, unit rates, standing charges, taxes, and estimated values with the dashboard. Check whether the dashboard has missing intervals or an outdated tariff. If the discrepancy remains, contact the supplier with the relevant readings and records.<\/p>\n<h3>Can Lifee work with an existing smart meter?<\/h3>\n<p>Compatibility depends on the supplier, data-access method, communications standard, and connected devices available at the property. Lifee can assess the existing setup and design a suitable monitoring or automation project rather than assuming that every meter exposes the same information.<\/p>\n<h2>The Future of Smart Meter Energy Monitoring<\/h2>\n<p>Smart meter energy monitoring is evolving from a billing tool into an operating layer for efficient, responsive buildings. In Great Britain, the scale of deployment already provides a large foundation for time-based tariffs, flexible demand, distributed generation, and more responsive energy services. The next challenge is not simply installing more meters, but ensuring that meters communicate reliably and that people can act on the information.<\/p>\n<ul>\n<li><strong>Flexible demand will become more practical.<\/strong> Households with heat pumps, electric vehicles, batteries, and smart appliances can shift some consumption without sacrificing essential comfort. Clear controls and transparent incentives will determine whether participation feels helpful rather than intrusive.<\/li>\n<li><strong>AI will connect separate systems.<\/strong> Instead of treating the meter, thermostat, solar inverter, battery, and appliance controls as independent products, platforms such as Lifee can coordinate them around cost, carbon, comfort, and user-defined priorities.<\/li>\n<li><strong>Cyber-security will remain foundational.<\/strong> More connected devices mean more potential access points. Secure identity, regular updates, permission management, network separation, and human override must develop alongside energy automation.<\/li>\n<li><strong>Building-level insights will support renovation.<\/strong> Persistent patterns can help identify properties that need insulation, heating-system maintenance, ventilation improvements, or control upgrades. This creates a practical bridge between consumption data and long-term energy-efficiency investment.<\/li>\n<\/ul>\n<p>With transparent data, responsible automation, and strong security, smart meter monitoring can make energy costs easier to understand and easier to influence. Lifee brings these elements together through AI-powered automation, intelligent energy audits, predictive management, contextual controls, and custom solutions for homes, businesses, and real-estate portfolios.<\/p>\n<p>If you are ready to turn confusing bills into clear decisions, explore how Lifee can connect smart meter data with practical energy efficiency, comfortable automation, and cyber-secure control.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover how smart meter energy monitoring provides clear, actionable insights to reduce bills and save energy. Make your energy use transparent today.<\/p>\n","protected":false},"author":1,"featured_media":199,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,8],"tags":[],"class_list":["post-198","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-energy-management","category-home-automation"],"_links":{"self":[{"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/posts\/198","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/comments?post=198"}],"version-history":[{"count":0,"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/posts\/198\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/media\/199"}],"wp:attachment":[{"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/media?parent=198"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/categories?post=198"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lifee.ai\/blog\/wp-json\/wp\/v2\/tags?post=198"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}