{"id":5032,"date":"2022-12-01T18:15:39","date_gmt":"2022-12-01T12:45:39","guid":{"rendered":"https:\/\/smarthelio.com\/?p=5032"},"modified":"2023-12-18T21:46:15","modified_gmt":"2023-12-18T16:16:15","slug":"ai-for-detecting-riso-faults-in-solar-plants-2","status":"publish","type":"post","link":"https:\/\/smarthelio.com\/ai-for-detecting-riso-faults-in-solar-plants-2\/","title":{"rendered":"AI for detecting RISO faults in solar plants"},"content":{"rendered":"

[vc_row row_height_percent=”0″ override_padding=”yes” h_padding=”3″ top_padding=”2″ bottom_padding=”7″ back_color=”color-165195″ overlay_alpha=”50″ gutter_size=”4″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ top_divider=”curve-opacity” enable_bottom_divider=”default” shape_bottom_invert=”yes” shape_bottom_h_use_pixel=”” shape_bottom_height=”150″ shape_bottom_opacity=”100″ shape_bottom_index=”0″ uncode_shortcode_id=”186277″ back_color_type=”uncode-palette”][vc_column column_width_percent=”100″ gutter_size=”3″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”4″ mobile_width=”0″ width=”1\/1″ el_class=”image-card image-card-triple” uncode_shortcode_id=”105369″][vc_row_inner row_inner_height_percent=”0″ overlay_alpha=”50″ gutter_size=”4″ shift_y=”0″ z_index=”0″ limit_content=”” uncode_shortcode_id=”164132″][vc_column_inner column_width_percent=”100″ gutter_size=”3″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ width=”1\/2″ uncode_shortcode_id=”196552″][uncode_info_box items=”Categories”][vc_custom_heading heading_semantic=”h3″ text_size=”fontsize-156256″ sub_lead=”yes” uncode_shortcode_id=”111005″]AI for detecting RISO faults in solar plants<\/strong>[\/vc_custom_heading][vc_column_text uncode_shortcode_id=”233868″]<\/p>\n

Low isolation resistance (RISO) faults are the most common type of DC fault in solar power systems, and approximately 50% of these faults go undetected because ground fault protection devices generally do not sense the small (<1 Amp) current. This white paper dives into the technicalities of RISO faults and presents a case study in which the detection of this type of fault by SmartHelio’s predictive analytics software resulted in the saving of energy, time, and money for a global energy client.<\/p>\n

[\/vc_column_text][vc_custom_heading sub_lead=”yes” uncode_shortcode_id=”110204″]<\/p>\n

In a nutshell<\/strong><\/h1>\n

[\/vc_custom_heading][uncode_list uncode_shortcode_id=”297110″]<\/p>\n

    \n
  • \u2714\ufe0f <\/span>Low isolation resistance (RISO) on the DC side of a solar power system indicates a fault.<\/li>\n
  • \u2714\ufe0f <\/span>RISO faults are common and often go undetected, which can cause energy losses and severe damage to the system.<\/li>\n
  • \u2714\ufe0f <\/span>SmartHelio’s predictive analytics uses AI pattern recognition to detect RISO faults and provide prescriptive guidance to correct them.<\/li>\n
  • \u2714\ufe0f <\/span>Early detection of RISO faults can save time, money, and energy losses and improve the overall performance of solar PV assets.<\/li>\n<\/ul>\n

    [\/uncode_list][vc_custom_heading sub_lead=”yes” uncode_shortcode_id=”133262″]<\/p>\n

    Who is this for?<\/strong><\/h1>\n

    [\/vc_custom_heading][uncode_list uncode_shortcode_id=”489752″]<\/p>\n

      \n
    • \u27a1\ufe0f\u00a0<\/span><\/span>Asset managers<\/li>\n
    • \u27a1\ufe0f\u00a0<\/span><\/span>O&M teams<\/li>\n
    • \u27a1\ufe0f\u00a0<\/span><\/span>Solar installation stakeholders<\/li>\n
    • \u27a1\ufe0f\u00a0<\/span><\/span>Heads of innovation<\/li>\n<\/ul>\n

      [\/uncode_list][\/vc_column_inner][vc_column_inner column_width_percent=”100″ position_vertical=”bottom” gutter_size=”2″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ width=”1\/2″ uncode_shortcode_id=”119663″][vc_custom_heading sub_lead=”yes” sub_reduced=”yes” text_align=”text-center” uncode_shortcode_id=”144674″]Get access[\/vc_custom_heading][vc_column_text uncode_shortcode_id=”810026″]Please use the form provided below to fill in your information. Once submitted, you will receive an email containing the full paper as a PDF.[\/vc_column_text][vc_raw_js]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[\/vc_raw_js][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

      [vc_row row_height_percent=”0″ override_padding=”yes” h_padding=”3″ top_padding=”2″ bottom_padding=”7″ back_color=”color-165195″ overlay_alpha=”50″ gutter_size=”4″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ top_divider=”curve-opacity” enable_bottom_divider=”default” shape_bottom_invert=”yes” shape_bottom_h_use_pixel=”” shape_bottom_height=”150″ shape_bottom_opacity=”100″ shape_bottom_index=”0″ uncode_shortcode_id=”186277″ […]<\/p>\n","protected":false},"author":7,"featured_media":5138,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"Using AI to detect and predict RISO faults in solar PV plants","_seopress_titles_desc":"RISO faults are common and often go undetected, which can cause energy losses and severe damage to the system. Early detection of faults can save on O&M costs and increase overall performance.","_seopress_robots_index":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/posts\/5032"}],"collection":[{"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/comments?post=5032"}],"version-history":[{"count":1,"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/posts\/5032\/revisions"}],"predecessor-version":[{"id":5488,"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/posts\/5032\/revisions\/5488"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/media\/5138"}],"wp:attachment":[{"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/media?parent=5032"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/categories?post=5032"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smarthelio.com\/wp-json\/wp\/v2\/tags?post=5032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}