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    <loc>https://sensorclean.ai/blog/minimum-night-flow-leakage</loc>
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    <lastmod>2026-02-25</lastmod>
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      <image:title>Blog - What Minimum Night Flows Tell You About Leakage - Make it stand out</image:title>
      <image:caption>Figure 1 Normalized leakage estimates providing maintenance teams with the greatest opportunity to reduce leakage. The Combined Real Loss Index (kiloliter/year/size of DMA) is used, as it captures both high-density urban and rural DMAs.</image:caption>
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      <image:title>Blog - What Minimum Night Flows Tell You About Leakage - Make it stand out</image:title>
      <image:caption>Figure 2 Timeline of daily minimum night flows with the selected annual lowest night flows.</image:caption>
    </image:image>
    <image:image>
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      <image:title>Blog - What Minimum Night Flows Tell You About Leakage - Make it stand out</image:title>
      <image:caption>Figure 3 Night Flow Timeline with Baseline Selection</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/billing-3-month-time-step-issue</loc>
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    <lastmod>2025-10-29</lastmod>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/smarter-water-balance-analytics</loc>
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    <lastmod>2025-09-23</lastmod>
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    <loc>https://sensorclean.ai/blog/closing-gaps-with-data-infilling</loc>
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    <lastmod>2025-07-22</lastmod>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/smarter-leak-detection-with-scada</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-06-02</lastmod>
    <image:image>
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      <image:title>Blog - Smarter Leak Detection with SCADA: Setting the Right Alert Frequency - Make it stand out</image:title>
      <image:caption>Daily minimum night flows with max daily temperature show clear seasonal trends that can refine leak detection thresholds</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/smarter-water-management-clean-scada</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-04-27</lastmod>
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      <image:title>Blog - Unlock Smarter Water Management with Clean SCADA Data - Make it stand out</image:title>
      <image:caption>Figure 1 Comparison of peak flows across multiple subsystems, highlighting Peak Hour, Peak Day, Peak Week and 95th percentile events</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/scada-to-text-for-ai-workflows</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-03-26</lastmod>
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  <url>
    <loc>https://sensorclean.ai/blog/scada-water-loss-prioritization</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-02-23</lastmod>
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  <url>
    <loc>https://sensorclean.ai/blog/scada-hydrant-fire-fighting-flows</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-02-18</lastmod>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/inclusive-scada-data-vision-impairment</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-02-23</lastmod>
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  <url>
    <loc>https://sensorclean.ai/blog/data-mining-for-hydrant-flows</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-03-26</lastmod>
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      <image:title>Blog - Quantifying Hydrant Flows for Water Theft Reduction - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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  </url>
  <url>
    <loc>https://sensorclean.ai/blog/reducing-utility-risk-during-heat-waves</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-02-18</lastmod>
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      <image:title>Blog - Reducing Utility Risk During Heat Wave Events - Make it stand out</image:title>
      <image:caption>Figure 1</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/e3c6078c-df3c-4b69-a739-076bc875043e/PeakWeek_Events.png</image:loc>
      <image:title>Blog - Reducing Utility Risk During Heat Wave Events - Make it stand out</image:title>
      <image:caption>Figure 2</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/b0a705a3-d0d5-4176-a03a-bad020a2b8d3/TempsTable.png</image:loc>
      <image:title>Blog - Reducing Utility Risk During Heat Wave Events - Make it stand out</image:title>
      <image:caption>Table 1</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/reducing-utility-risk-data-mining</loc>
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    <priority>0.5</priority>
    <lastmod>2025-02-18</lastmod>
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      <image:title>Blog - How Utility Big Data Can Reduce Risk and Save Capex - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/474ea54a-1d55-4d29-b96f-2110e090a44d/TableCosts.jpg</image:loc>
      <image:title>Blog - How Utility Big Data Can Reduce Risk and Save Capex - Make it stand out</image:title>
      <image:caption>Example of different DICL pipeline costs linked to peak flows</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/scada-data-for-demand-forecasting</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-02-18</lastmod>
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      <image:title>Blog - Improving Demand Forecasting with Water Network Data Mining - Make it stand out</image:title>
      <image:caption>Figure 1 Daily water consumption with daily max temperature from SensorClean. Note that 2012 was a wet year, leading to a drop in DMA water consumption.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/1ec57658-c27f-46a5-86a4-17ccd69a3bc0/PeakWeeks.png</image:loc>
      <image:title>Blog - Improving Demand Forecasting with Water Network Data Mining - Make it stand out</image:title>
      <image:caption>Figure 2 Peak week demand events from SensorClean</image:caption>
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  </url>
  <url>
    <loc>https://sensorclean.ai/blog/fsa-data-has-become-sensorcleanai</loc>
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    <priority>0.5</priority>
    <lastmod>2025-02-18</lastmod>
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      <image:title>Blog - FSA Data is now trading as SensorClean.ai - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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  </url>
  <url>
    <loc>https://sensorclean.ai/blog/automation-non-revenue-water-workflows</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-02-18</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/637027de-6ac0-4d97-9ee7-123f6a8780f2/Hydrants-min.png</image:loc>
      <image:title>Blog - Improving Efficiency in NRW Management with SensorClean - Make it stand out</image:title>
      <image:caption>Figure 1 Identified hydrant flows in SensorClean</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/peaks-for-dma-risk-analysis</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-02-18</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/d9d79a76-d471-4789-8127-175c1b27cc5d/DailyConsPOT.png</image:loc>
      <image:title>Blog - Return Periods of Peaks for DMA Risk Analysis - Make it stand out</image:title>
      <image:caption>Figure 1 Example of peak over threshold separation for a DMA</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/7bf6648e-34b5-49a5-8cb0-ac3c5f73f78e/PeakDays-min.PNG</image:loc>
      <image:title>Blog - Return Periods of Peaks for DMA Risk Analysis - Make it stand out</image:title>
      <image:caption>Figure 2 Peak consumption days from SensorClean</image:caption>
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  <url>
    <loc>https://sensorclean.ai/blog/water-network-peaking-factors</loc>
    <changefreq>monthly</changefreq>
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    <lastmod>2025-02-18</lastmod>
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      <image:title>Blog - Uncovering Savings Opportunities with DMA Peaking Factors - Make it stand out</image:title>
      <image:caption>Figure 1 DMAs can experience variability for peak demand events</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/blog/sharing-big-water-data</loc>
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    <lastmod>2025-02-18</lastmod>
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    <loc>https://sensorclean.ai/blog/why-we-developed-sensorclean</loc>
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    <lastmod>2025-02-18</lastmod>
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    <loc>https://sensorclean.ai/blog/cleaning-reservoir-data-water-age</loc>
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    <lastmod>2025-02-18</lastmod>
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      <image:title>Blog - Cleaning Reservoir Data to Understand Water Age - Make it stand out</image:title>
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    <loc>https://sensorclean.ai/blog/label-scada-data-for-ml</loc>
    <changefreq>monthly</changefreq>
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    <lastmod>2025-02-18</lastmod>
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    <loc>https://sensorclean.ai/blog/data-cleaning-for-hydraulic-models</loc>
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    <lastmod>2025-02-18</lastmod>
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      <image:title>Blog - Data Cleaning In The Multi-Million Dollar Workflow - Make it stand out</image:title>
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    <loc>https://sensorclean.ai/blog/data-mining-and-water-network-boundaries</loc>
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    <lastmod>2025-02-18</lastmod>
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    <loc>https://sensorclean.ai/people-behind-sensorclean-dma-software</loc>
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    <lastmod>2026-03-08</lastmod>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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    <lastmod>2026-03-30</lastmod>
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    <lastmod>2026-03-08</lastmod>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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  <url>
    <loc>https://sensorclean.ai/non-revenue-water-scada</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2026-03-08</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/612b8d5f1e4f675a1ce41271/32f1430b-aa67-4f88-955a-244f6e980ffd/SensorClean+Community+%285%29.png</image:loc>
      <image:title>Services - Non-Revenue Water (NRW) Analytics</image:title>
      <image:caption>Automate Data Cleaning. Quantify Leakage. Prioritize Maintenance SensorClean transforms raw SCADA data into trusted insights that expose hidden losses, track leakage growth, and support smarter water-loss decisions. Our analytics fit the realities of utility operations - ready for real-time integration when needed. Utilities use SensorClean to: Clean SCADA data automatically by correcting negative consumption and filling data gaps to create a reliable leakage-analysis foundation. Detect and quantify hydrant extraction, and use permit data to distinguish authorized use from theft. Present seasonal MNFs and quantify leakage relative to baselines, including growth in leakage over time. Prioritize DMAs for maintenance using big-data insights to reduce unnecessary field activity. Build a simple weekly MNF model so engineers can quickly verify lowest night flows each week for leakage monitoring.</image:caption>
    </image:image>
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      <image:title>Services - Pump Station Performance Analytics</image:title>
      <image:caption>Pump stations produce rich time-series data, but interpreting it manually is challenging and time-consuming. SensorClean transforms raw SCADA data into clear performance insights for water, wastewater and stormwater pump stations. Utilities use SensorClean to: Derive key pump station metrics for each financial year Analyse dry-weather pump station performance Analyse wet-weather pump station performance Identify abnormal pump operation Identify opportunities to optimise pumping schedules These insights support operators, maintenance teams, and asset planners with defensible evidence for decision-making and proactive maintenance.</image:caption>
    </image:image>
    <image:image>
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      <image:title>Services - Demand Forecasting Analytics</image:title>
      <image:caption>Evidence-Based Demand. Plan with Confidence. Improve Resilience. Accurate demand forecasting is essential for daily operations and long-term infrastructure planning. SensorClean analyzes flow and tank data at the network level to help utilities understand demand patterns and make confident, data-driven decisions. Demand profiles can be generated for any day of the year, supporting rapid operational response during emergency events. When multiple subsystems are available, our big-data regression approach builds profiles for houses and apartments - overcoming the traditional three-month billing time-step limitation that obscures peak-day behavior. Utilities use SensorClean to: Analyze peak flows for infrastructure planning decisions Support planning and timing of new infrastructure, ensuring investments occur when needed. Generate subsystem demand profiles for any day of the year for emergency and operational decision-making. Apply big-data regression to build peak and average demand profiles for houses and apartments. Quantify unaccounted-for water to improve hydraulic modeling. Reduce planning risk with demand evidence across multiple temporal resolutions. Quantify fire flows for preparedness and resilience. Fill data gaps automatically to ensure continuity and completeness of data.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://sensorclean.ai/non-revenue-water-scada-1</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2026-01-04</lastmod>
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