{"id":2766,"date":"2013-12-05T20:16:36","date_gmt":"2013-12-05T20:16:36","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2766"},"modified":"2013-12-05T20:16:58","modified_gmt":"2013-12-05T20:16:58","slug":"using-analytics-to-crack-down-on-electricity-theft","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/using-analytics-to-crack-down-on-electricity-theft\/2766\/","title":{"rendered":"Using Analytics to Crack Down on Electricity Theft"},"content":{"rendered":"Electricity theft is estimated to cost the energy industry approximately $6 billion each year. Analytics can help them recoup a significant portion of those losses. People go to all kinds of lengths to steal electricity. Some simply turn their meters upside down so they run backwards. Others break into their meters and pour glue over the dials to gum them up and slow down readings. More daring (or desperate) electricity thieves use jumper cables to bypass the meter\u2014exposing themselves to live, high voltage electricity in the process. And those who really wish to flirt with danger tap directly <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/using-analytics-to-crack-down-on-electricity-theft\/2766\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Electricity theft is estimated to cost the energy industry approximately $6 billion each year. Analytics can help them recoup a significant portion of those losses. People go to all kinds of lengths to steal electricity. Some simply turn their meters upside down so they run backwards. Others break into their meters and pour glue over [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[59,237,238],"class_list":["post-2766","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-analytics","tag-deloitte","tag-energy-utilities"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2766","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=2766"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2766\/revisions"}],"predecessor-version":[{"id":2769,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2766\/revisions\/2769"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2766"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2766"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2766"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}