1.0Instituto de Ingeniería del Conocimientohttps://www.iic.uam.es/enInstituto de Ingeniería del Conocimientohttps://www.iic.uam.es/en/author/andres/rich600338<blockquote class="wp-embedded-content" data-secret="YCdcGWPbDl"><a href="https://www.iic.uam.es/en/big-data-services/energy-environment/energy-fraud-detection/">Energy Fraud Detection</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.iic.uam.es/en/big-data-services/energy-environment/energy-fraud-detection/embed/#?secret=YCdcGWPbDl" width="600" height="338" title="“Energy Fraud Detection” — Instituto de Ingeniería del Conocimiento" data-secret="YCdcGWPbDl" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /* <![CDATA[ */ /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); /* ]]> */ </script> [vc_row type=”full_width_section” top_padding=”-10″][vc_column width=”1/1″][vc_column_text][/vc_column_text][/vc_column][/vc_row][vc_row top_padding=”30″ bottom_padding=”30″][vc_column width=”1/1″][vc_column_text] Energy Fraud Detection [/vc_column_text][vc_column_text] According to researches made by the Spanish National Commission of Energy (CNE), fraud has increased substantially in gas, electricity and water distribution systems over the last few years. Detecting energy fraud is particularly complicated as it tends to adapt to changes. In order to minimize its effects and reduce economic impact, it is essential to employ automatic and intelligent methods. [/vc_column_text][/vc_column][/vc_row][vc_row bg_color=”#f1f1f1″ top_padding=”40″ bottom_padding=”40″][vc_column width=”1/1″][vc_column_text] What is Energy Fraud Detection about? [/vc_column_text][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text] Fraud detection services may be applied to different types of distribution, such as electricity or gas. With the aim of identifying irregularities or fraud on the installations, information provided by companies about users is analysed thoroughly: consumptions, meter locations, types of rates, etc. For this analysis, predictive models and advanced techniques of variables selection and generation are used, and the most relevant techniques regarding the problem raised are identified using correlations, statistic indicators, relations among clients, QPFS or mRMR, among others. Then classification techniques are applied using historical data both from clients’ behaviour and structural data. [/vc_column_text][/vc_column_inner][vc_column_inner width=”1/2″][vc_column_text] On the basis of this data, the system updates information about clients periodically —according to the needs of […]