{"id":1073,"date":"2022-02-14T11:23:18","date_gmt":"2022-02-14T10:23:18","guid":{"rendered":"https:\/\/metalogic.mediapool-muc.de\/products\/mp-scenario\/"},"modified":"2025-05-28T15:02:10","modified_gmt":"2025-05-28T13:02:10","slug":"mp-scenario","status":"publish","type":"page","link":"https:\/\/new.metalogic.de\/en\/products\/mp-scenario\/","title":{"rendered":"mP Scenario"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row full_width=&#8221;stretch_row&#8221; el_class=&#8221;schmuck-hg&#8221; css=&#8221;.vc_custom_1644580569483{padding-bottom: 25px !important;}&#8221;][vc_column][vc_column_text]<\/p>\n<h1><span style=\"color: #cd064b;\">mP <\/span>Scenario<br \/>\nIntegrated Scenario Analysis and Calculation<\/h1>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1644580603818{padding-top: 50px !important;padding-bottom: 25px !important;}&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]With mP Scenario, mP Xnergy can be extended to perform elaborate scenario calculations and analyses. This allows the user, for example, to find out how a customer&#8217;s consumption will behave under different conditions &#8211; whether by using different weather forecasts, creating if-then conditions or by performing so-called Monte Carlo simulations in which the influencing variables in the current model are specifically changed.<\/p>\n<p>mP Scenario can process and generate different forecast results, which are achieved by changing the input data. This includes the definition of an unlimited number of so-called &#8220;data variants&#8221; (e.g., normal, high, and low temperature forecasts).<\/p>\n<p>A Monte Carlo simulation module allows the simulation of probabilistic conditions (e.g., the change in temperature of an existing forecast along a Gaussian normal distribution with a configurable width). The different results and confidence intervals calculated by the module can be output to different systems, e.g., the high and low scenarios are output to a different system than the normal forecast result. mP Scenario provides improved risk assessment and analysis by providing users with a more tangible means to assess the fluctuations in their forecast.[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1631539784587{padding-top: 0px !important;padding-bottom: 80px !important;}&#8221;][vc_column]\r\n\t\t\t<div class='mpButton blue left '>\r\n\t\t\t\t<a href='\/en\/products\/' title='Overview'>Overview<\/a>\r\n\t\t\t<\/div>\r\n\t\t[\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row full_width=&#8221;stretch_row&#8221; el_class=&#8221;schmuck-hg&#8221; css=&#8221;.vc_custom_1644580569483{padding-bottom: 25px !important;}&#8221;][vc_column][vc_column_text] mP Scenario Integrated Scenario Analysis and Calculation [\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1644580603818{padding-top: 50px !important;padding-bottom: 25px !important;}&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]With mP Scenario, mP Xnergy can be extended to perform elaborate scenario calculations and analyses. This allows the user, for example, to find out how a customer&#8217;s consumption will behave under different conditions &#8211; whether by [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"parent":610,"menu_order":50,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1073","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages\/1073","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/comments?post=1073"}],"version-history":[{"count":6,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages\/1073\/revisions"}],"predecessor-version":[{"id":6739,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages\/1073\/revisions\/6739"}],"up":[{"embeddable":true,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages\/610"}],"wp:attachment":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/media?parent=1073"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}