{"id":28185,"date":"2019-10-02T16:20:02","date_gmt":"2019-10-02T14:20:02","guid":{"rendered":"http:\/\/mbi-dev.t26.mbigroup.it\/?page_id=28185"},"modified":"2023-01-13T12:08:41","modified_gmt":"2023-01-13T11:08:41","slug":"powerschedo-for-data-collection","status":"publish","type":"page","link":"https:\/\/www.mbigroup.it\/en\/powerschedo-for-data-collection\/","title":{"rendered":"Powerschedo for Data Collection"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”big section” _builder_version=”4.16″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(237,221,0,0.22) 0%|rgba(0,0,0,0.23) 100%” background_color_gradient_start=”rgba(237,221,0,0.22)” background_color_gradient_end=”rgba(0,0,0,0.23)” background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2019\/10\/iStock-640026090.jpg” background_blend=”darken” custom_padding=”8%||8%|” global_colors_info=”{}”][et_pb_row admin_label=”row” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_padding=”0%||0%|” 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=”Banner iniziale – powerschedo for market analysis” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”center” background_layout=”dark” module_alignment=”center” global_colors_info=”{}”]<\/p>\n

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Power<\/span>SchedO<\/strong><\/em><\/span> for Data Collection<\/em><\/span><\/h2>\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=”#f7f7f7″ custom_css_main_element=”padding-top: 2% !important;||padding-bottom: 2% !important;” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ custom_padding=”2%||2%|” 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=”Analizzare, prevedere, decidere” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”center” custom_padding=”|5%||5%” global_colors_info=”{}”]<\/p>\n

Data analysis<\/b><\/span> is one of the fundamental tools used by people working on <\/span>energy trading<\/b><\/span>, whether they act on retail or wholesale markets<\/span><\/h2>\n

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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.17.6″ background_color=”#076f84″ use_background_color_gradient=”on” background_color_gradient_direction=”231deg” background_color_gradient_stops=”rgba(28,108,140,0.93) 0%|#31635d 100%” background_color_gradient_start=”rgba(28,108,140,0.38)” background_color_gradient_end=”rgba(63,119,22,0.51)” background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2020\/04\/power-plant-powerschedo.jpg” background_blend=”multiply” custom_padding=”4%||4%|” hover_enabled=”0″ custom_css_main_element=”padding-top: 20px;” global_colors_info=”{}” alt=”powerschedo – energy optimizing tools” title_text=”Wind turbine with coal power plant” sticky_enabled=”0″][et_pb_row _builder_version=”4.16″ custom_margin=”2%|||” 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=”4.16″ text_orientation=”center” background_layout=”dark” global_colors_info=”{}”]<\/p>\n

Portfolio management<\/h2>\n

[\/et_pb_text][et_pb_cta button_url=”#analysis-demo” admin_label=”pulsante – prenota una demo gratuita” _builder_version=”4.16″ header_text_color=”#ffffff” use_background_color=”off” custom_button=”on” button_text_color=”#ffffff” button_bg_color=”#1AABD9″ button_border_width=”0″ button_border_radius=”27″ button_font=”|600|||||||” button_icon=”3||divi||400″ background_layout=”light” custom_css_promo_button=”padding-left:4%;||padding-right:4%;” global_colors_info=”{}”]<\/p>\n

forecast | renewable productions | hedging price volatility | risk management for imbalance<\/h2>\n

[\/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 column_structure=”1_2,1_2″ _builder_version=”4.16″ custom_padding=”|4%||4%” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb use_icon=”on” font_icon=”||divi||400″ icon_color=”#1AABD9″ icon_placement=”left” image_icon_width=”70px” admin_label=”Make or buy” _builder_version=”4.16″ icon_font_size=”70px” global_colors_info=”{}”]<\/p>\n

Generation portfolio <\/span><\/strong><\/h3>\n
Power generation portfolio can be effectively handled using:<\/span><\/div>\n
    \n
  • algorithms to <\/span>forecast renewable productions<\/b><\/span><\/li>\n
  • hedging<\/b><\/span> techniques to handle price volatility of conventional power plants<\/span><\/li>\n
  • risk management<\/b><\/span> techniques to minimize the imbalance costs<\/span><\/li>\n<\/ul>\n

    [\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2019\/10\/power-plant-2.png” icon_placement=”left” image_icon_width=”103%” admin_label=”Powerschedo for Market Analysis” _builder_version=”4.16″ background_enable_color=”off” width=”98%” custom_padding=”0px|||0px||” child_filter_hue_rotate=”5deg” child_filter_brightness=”105%” child_filter_contrast=”104%” custom_css_blurb_image=”width:100px;” image_max_width=”103%” global_colors_info=”{}”]<\/p>\n

    Intraborder power exchanges and net positions<\/strong><\/h3>\n

    The <\/span>CWE<\/b><\/span> energy markets are linked with a transmission network modelled with a <\/span>PTDF<\/b><\/span> matrix. \u00a0Data analysis is widely used to monitor and forecast the <\/span>capacity <\/b><\/span>of the high-voltage interconnection and the <\/span>net position<\/b><\/span> of each country.<\/span><\/p>\n

    [\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ custom_padding=”|4%||4%” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2019\/10\/graph.png” icon_placement=”left” image_icon_width=”70px” admin_label=”Make or buy” _builder_version=”4.16″ filter_hue_rotate=”3deg” filter_saturate=”124%” filter_brightness=”103%” image_max_width=”70px” global_colors_info=”{}”]<\/p>\n

    Analyse and forecast the power market dynamics<\/strong><\/h3>\n

    All these to say that data analysis is one of the main tools that support business growth in term of traded volume and hubs served.<\/p>\n

    [\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_class=”analysis-types” _builder_version=”4.16″ background_color=”#1AABD9″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(0,0,0,0.7) 0%|rgba(0,0,0,0.7) 100%” background_color_gradient_overlays_image=”on” background_color_gradient_start=”rgba(0,0,0,0.7)” background_color_gradient_end=”rgba(0,0,0,0.7)” background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2019\/03\/analiza_multidimensionala.jpg” custom_padding=”||5%|” custom_css_main_element=”padding-top: 20px;||padding-bottom: 20px;” 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 _builder_version=”4.16″ text_orientation=”center” background_layout=”dark” global_colors_info=”{}”]<\/p>\n

    Data\u00a0Collection<\/h2>\n

    [\/et_pb_text][et_pb_divider show_divider=”off” _builder_version=”4.16″ height=”5px” global_colors_info=”{}”][\/et_pb_divider][\/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 title=”CWE” use_icon=”on” font_icon=”E||divi||400″ icon_color=”#ffffff” icon_placement=”left” admin_label=”Previsione del segni di sbilanciamento macro-zonale” _builder_version=”4.16″ background_layout=”dark” global_colors_info=”{}”]<\/p>\n

    CWE is made of 5 different countries – Austria, Belgium, France, Germany and the Netherlands – and counts up to 9 different TSO.<\/p>\n

    <\/div>\n

    elia, rte, tiwag, verbund, vkw, enbw, amprion, 50 hertz, tennet[\/et_pb_blurb][et_pb_blurb title=”Transparency report” use_icon=”on” font_icon=”E||divi||400″ icon_color=”#ffffff” icon_placement=”left” admin_label=”Previsione dei volumi di sbilanciamento” _builder_version=”4.16″ background_layout=”dark” global_colors_info=”{}”]Almost all the public data published by the TSOs are organized into the ENTSO-E platform called “Transparency report”, whilst other specific open data are available onto the TSOs website. Collecting all these data, cleaning and normalization, storing into a database: this is a three-step process enabling any data science analysis.<\/span><\/p>\n

    Power BI, qlik view, sas, sap, oracle, tableu<\/span><\/span><\/div>\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_image src=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2019\/10\/graphs-data-collection-tr.png” _builder_version=”4.16″ width=”99%” 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_blurb title=”Advanced analytics ” use_icon=”on” font_icon=”E||divi||400″ icon_color=”#ffffff” icon_placement=”left” admin_label=”Previsione delle penali di sbilanciamento” _builder_version=”4.16″ background_layout=”dark” global_colors_info=”{}”]<\/p>\n

    Advanced analytics can be performed using many programming languages, providing actionable insights using artificial intelligence and optimization<\/p>\n

    <\/div>\n

    python, r, matlab, julia[\/et_pb_blurb][et_pb_blurb title=”Business-intelligence” use_icon=”on” font_icon=”E||divi||400″ icon_color=”#ffffff” icon_placement=”left” admin_label=”Previsione dei volumi di sbilanciamento” _builder_version=”4.16″ background_layout=”dark” global_colors_info=”{}”]<\/p>\n

    Performing business-intelligence is probably the most used tool to analyse market data: reports, on-line charts, sharing the power markets fundamentals across the company’s departments.<\/span><\/p>\n

    <\/span><\/p>\n

    Power BI, qlik view, sas, sap, oracle, tableu<\/span><\/span><\/div>\n

     <\/p>\n

    [\/et_pb_blurb][\/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″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_image src=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2019\/10\/graphs-data-collection-1.png” _builder_version=”4.16″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

    PowerSchedO for data collection is the specific solution designed and developed to help any market analyst to build a bullet-proof database of power markets data. At today, the data sources properly handled are: entso-e, elia, jao, terna, epex-spot, omie, gme.<\/h4>\n

    [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Contacut us – powerschedo” _builder_version=”4.17.4″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(0,0,0,0.3) 0%|rgba(119,119,119,0.39) 100%” background_color_gradient_overlays_image=”on” background_color_gradient_start=”rgba(0,0,0,0.3)” background_color_gradient_end=”rgba(119,119,119,0.39)” background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2018\/12\/market-analysis-template.jpg” background_blend=”multiply” custom_css_main_element=”padding-top: 6% !important;||padding-bottom: 6% !important;” saved_tabs=”all” global_colors_info=”{}”][et_pb_row admin_label=”Download document” _builder_version=”4.16″ custom_css_main_element=”padding-top: 0px !important;||padding-bottom: 0px !important;” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_cta url_new_window=”on” button_text=”Scarica l\u2019approfondimento” _builder_version=”4.17.6″ use_background_color=”off” custom_button=”on” button_text_size=”20px” button_text_color=”#ffffff” button_bg_color=”#0c71c3″ button_border_color=”rgba(0,0,0,0)” button_border_radius=”37px” button_font=”|600|||||||” button_icon=”||divi||400″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

    PowerSchedO<\/strong><\/em> for Data Collection is kept always updated in order to follow any market evolution or any changes in data format. Further, other data sources can be added following our customers’ requests.<\/h3>\n

    PowerSchedO<\/strong><\/em> for Data Collection is the specific solution designed and developed to help any market analyst to build a bullet-proof database of power markets data<\/h3>\n

    [\/et_pb_cta][et_pb_divider show_divider=”off” admin_label=”Demo (ID)” module_id=”demo” _builder_version=”4.16″ height=”2px” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

    PowerSchedO for Data CollectionData analysis is one of the fundamental tools used by people working on energy trading, whether they act on retail or wholesale markets Portfolio managementforecast | renewable productions | hedging price volatility | risk management for imbalanceGeneration portfolio Power generation portfolio can be effectively handled using: algorithms to forecast renewable productions hedging […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-28185","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.mbigroup.it\/en\/wp-json\/wp\/v2\/pages\/28185","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mbigroup.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mbigroup.it\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mbigroup.it\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mbigroup.it\/en\/wp-json\/wp\/v2\/comments?post=28185"}],"version-history":[{"count":0,"href":"https:\/\/www.mbigroup.it\/en\/wp-json\/wp\/v2\/pages\/28185\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.mbigroup.it\/en\/wp-json\/wp\/v2\/media?parent=28185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}