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<\/p>\n[et_pb_section fb_built=”1″ admin_label=”big section” _builder_version=”4.17.5″ background_enable_color=”off” use_background_color_gradient=”on” background_color_gradient_stops=”#023582 24%|rgba(33,130,165,0.32) 67%” background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2017\/10\/mercati-energia-elettrica.jpg” background_blend=”multiply” custom_padding=”8%||4%|” global_colors_info=”{}”][et_pb_row admin_label=”row” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” max_width=”934px” use_custom_width=”on” custom_width_px=”934px” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.5″ text_line_height=”2em” header_line_height=”1.3em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”center” background_layout=”dark” module_alignment=”center” header_2_font_size_tablet=”” header_2_font_size_phone=”” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_css_main_element=”padding-top: 40px;” transparent_background=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Perch\u00e8 fare le previsioni di consumo” _builder_version=”4.16″ text_font=”||||||||” header_font=”||||||||” header_2_font=”||||||||” header_2_line_height=”1.5em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”justified” module_alignment=”justified” border_style=”solid” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ background_color=”#0ca8cc” parallax=”on” parallax_method=”off” custom_css_main_element=”padding-top: 30px;||padding-bottom: 20px;” transparent_background=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”PowerSchedO for UC Forecast: previsioni di consumo per il mercato libero” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”center” background_layout=”dark” module_alignment=”center” border_style=”solid” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ use_background_color_gradient=”on” background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2017\/05\/data-banner.jpg” background_blend=”multiply” custom_css_main_element=”padding-top: 20px;” transparent_background=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb use_icon=”on” font_icon=”E||divi||400″ icon_color=”#2fc5fc” icon_placement=”left” admin_label=”Blurb” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]Native integration with data from and for Terna and GME<\/span> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”cosa fa” _builder_version=”4.16″ text_font=”||||||||” text_font_size=”16px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” module_alignment=”left” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]Consumption forecasts are used for the appointment process: for this reason they must be as accurate as possible, following the principles of diligence, expertise, prudence and foresight. The legislation requires each consumption unit to aggregate three distinct components <\/strong>: [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2017\/05\/PSO_UC-schema1-site.png” alt=”Components Consumption forecast for the free energy market with PowerSchedo for UC Forecast – Business Analytics and Optimization – MBI” title_text=”Components Consumption forecast for the free energy market with PowerSchedo for UC Forecast – Business Analytics and Optimization – MBI” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.16″ animation_style=”slide” animation_direction=”left” animation_duration=”500ms” animation_intensity_slide=”10%” use_border_color=”off” border_color=”#ffffff” border_style=”solid” animation=”left” sticky=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ background_color=”#f7f7f7″ parallax=”on” parallax_method=”off” transparent_background=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Cosa serve per fare le previsioni di consumo” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”justified” module_alignment=”justified” border_style=”solid” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”16px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” module_alignment=”left” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n The operator must have, separated by market area and consumer component, with hourly granularity, of: <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”16px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” module_alignment=”left” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n From an external supplier, the operator acquires data that help improve the quality of forecasts: <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”\/wp-content\/uploads\/2017\/05\/PSO_UC-schema2-site.png” alt=”Consumption forecasts for the free energy market with PowerSchedo for UC Forecast – Business Analytics and Optimization – MBI” title_text=”Consumption forecasts for the free energy market with PowerSchedo for UC Forecast – Business Analytics and Optimization – MBI” align=”center” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.16″ animation_direction=”bottom” custom_css_main_element=”max-width: 800px;” border_style=”solid” animation=”bottom” sticky=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ background_color=”#0ca8cc” parallax=”on” parallax_method=”off” custom_css_main_element=”padding-top:30px;” transparent_background=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Come utilizzare i dati per le previsioni di consumo” _builder_version=”4.16″ text_font=”||||||||” text_font_size=”16px” header_font=”||||||||” header_font_size=”35px” header_2_font=”||||||||” background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”justified” background_layout=”dark” module_alignment=”justified” border_style=”solid” global_colors_info=”{}”]<\/p>\n The processing of forecasts is a daily activity. In this way you are guaranteed to always use the best data to obtain quality forecasts. Excel macros or software written in R or a company ETRM procedure are often used: these are all valid tools as long as the data we use, the models to ensure the financial effectiveness of the forecasts, adherence to the legislation for the enhancement of imbalances. <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ background_color=”#e8e8e8″ use_background_color_gradient=”on” background_color_gradient_stops=”#2b87da 0%|#1b8787 100%” background_color_gradient_end=”#1b8787″ background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2017\/10\/mercati-energia-elettrica.jpg” background_blend=”multiply” custom_css_main_element=”padding-top:30px;” transparent_background=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Come ottenere ottime previsioni” _builder_version=”4.16″ text_font=”||||||||” text_font_size=”16px” header_font=”||||||||” header_3_font=”||||||||” header_3_font_size=”26px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”justified” background_layout=”dark” module_alignment=”justified” border_style=”solid” global_colors_info=”{}”]<\/p>\n Automatically acquires Terna data to generate forecasts ready for appointment (also in XML for their transmission) using specific algorithms for the three consumption categories . Our team follows the regulatory changes and appropriately adapts the product, supporting the customer in updating activities. It is a stand-alone product, installable on a PC, with low set-up and maintenance costs. <\/p>\n [\/et_pb_text][et_pb_cta button_url=”\/wp-content\/uploads\/2018\/10\/POWERSCHEDO-for-FORECAST0.3.pdf” url_new_window=”on” button_text=”download the brochure” _builder_version=”4.16″ use_background_color=”off” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_text_size__hover=”null” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_text_color__hover_enabled=”off” button_text_color__hover=”null” button_one_text_color__hover_enabled=”off” button_one_text_color__hover=”null” button_two_text_color__hover_enabled=”off” button_two_text_color__hover=”null” button_border_width__hover_enabled=”off” button_border_width__hover=”null” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_border_color__hover_enabled=”off” button_border_color__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_border_radius__hover_enabled=”off” button_border_radius__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_letter_spacing__hover_enabled=”off” button_letter_spacing__hover=”null” button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_bg_color__hover_enabled=”off” button_bg_color__hover=”null” button_one_bg_color__hover_enabled=”off” button_one_bg_color__hover=”null” button_two_bg_color__hover_enabled=”off” button_two_bg_color__hover=”null”][\/et_pb_cta][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Oltre le previsioni di consumo: la gestione del rischio finanziario” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”justified” module_alignment=”justified” border_style=”solid” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”2_3,1_3″ _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”\/wp-content\/uploads\/2017\/05\/PSO_UC-schema3-site.png” alt=”Financial risk management – Consumption forecasts for the free energy market with PowerSchedo for UC Forecast – Business Analytics and Optimization – MBI” title_text=”Financial risk management – Consumption forecasts for the free energy market with PowerSchedo for UC Forecast – Business Analytics and Optimization – MBI” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.16″ animation_direction=”left” border_style=”solid” animation=”left” sticky=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Lo sbilanciamento delle unit\u00e0 di consumo \u00e8 valorizzato in modo da penalizzare generalmente gli sbilanciamenti” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” module_alignment=”left” border_style=”solid” global_colors_info=”{}”]<\/p>\n The imbalance of consumption units is valued in such a way as to generally penalize imbalances. [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Footer” module_id=”analysis-demo” _builder_version=”4.16″ background_size=”initial” background_repeat=”repeat” background_blend=”soft-light” custom_margin=”-1px|||” custom_padding=”66px|||” custom_css_main_element=”padding-top: 20px;” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” module_class=”ps-demo-contact” _builder_version=”4.16″ custom_padding=”44px|||” animation_style=”fade” border_radii=”on|10px|10px|10px|10px” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Prenota la tua Demo” _builder_version=”4.16″ custom_css_main_element=”padding-left: 5px !important;” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_code _builder_version=”4.17.5″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb use_icon=”on” font_icon=”E||divi||400″ icon_color=”#2fc5fc” icon_placement=”left” admin_label=”Blurb” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]Generation of forecasts ready for appointment, including XML format for their transmission<\/span>
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb use_icon=”on” font_icon=”E||divi||400″ icon_color=”#2fc5fc” icon_placement=”left” admin_label=”Blurb” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]Specific algorithms for the three categories of consumption<\/span>
\n[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb use_icon=”on” font_icon=”E||divi||400″ icon_color=”#2fc5fc” icon_placement=”left” admin_label=”Blurb” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]Algorithms constantly updated to follow regulatory changes<\/span>
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb use_icon=”on” font_icon=”E||divi||400″ icon_color=”#2fc5fc” icon_placement=”left” admin_label=”Blurb” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]Stand-alone solution, installable on PC<\/span>
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb use_icon=”on” font_icon=”E||divi||400″ icon_color=”#2fc5fc” icon_placement=”left” admin_label=”Blurb” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]Low impact set-up and maintenance in terms of cost and time<\/span>
\n[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_css_main_element=”padding-top: 40px;” transparent_background=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Perch\u00e8 fare le previsioni di consumo” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”justified” module_alignment=”justified” border_style=”solid” global_colors_info=”{}”]<\/p>\n Why make consumption forecasts <\/h2>\n
The difference between forecast and actual consumption generates an imbalance <\/em> which is subject to economic <\/em> valorisation by Terna and generally produces an additional cost. So making good predictions helps reduce the risk of penalties <\/em>. <\/h3>\n
\n[\/et_pb_text][et_pb_text admin_label=”cosa fa” _builder_version=”4.16″ text_font=”||||||||” text_font_size=”16px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” module_alignment=”left” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n\n
What you need to make consumption forecasts <\/h2>\n
Good data is essential to make good predictions. Some are naturally owned by the market operator
\nwhile others are to be acquired from an external supplier. <\/h3>\n\n
\n
How to use data for consumption forecasts <\/h2>\n
Have coupons data is only half of the recipe. The fundamental factor that influences the effectiveness of consumption forecasts is the software used for the elaboration of the forecasts. <\/span> <\/h3>\n
How to get great predictions <\/h2>\n
Power SchedO <\/strong> for UC Forecast <\/em> is the specific solution for processing consumption forecasts for the wholesale energy market. <\/span> <\/h3>\n
Beyond consumption forecasts: financial risk management <\/h2>\n
The combination of Power SchedO <\/strong> for UC Forecast <\/em> and Power SchedO <\/strong> for zModel <\/em> guarantees companies with small and medium-sized customer portfolios a recovery of imbalance penalties. <\/h3>\n
\nTherefore, it is important to combine the minimization of the imbalance volume with an accurate management of the financial risk generated by the uncertainty of consumption forecasts.
\n Power SchedO <\/strong> <\/em> offers the possibility of combining the UC Forecast <\/em> with the solution Power SchedO <\/strong> for zModel <\/em> <\/a> which manages the financial risk associated with forecast errors . <\/p>\nBook your Demo<\/strong><\/h2>\n