{"id":114126,"date":"2022-08-05T13:29:37","date_gmt":"2022-08-05T13:29:37","guid":{"rendered":"https:\/\/www.inzin.de\/unkategorisiert\/dr-ali-hashemifarzad\/"},"modified":"2024-03-20T10:05:01","modified_gmt":"2024-03-20T10:05:01","slug":"dr-ali-hashemifarzad","status":"publish","type":"post","link":"https:\/\/www.inzin.de\/en\/alumni-en-2\/dr-ali-hashemifarzad\/","title":{"rendered":"Dr. Ali Hashemifarzad"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;inverted-device-order&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243;][vc_custom_heading auto_text=&#8221;yes&#8221; uncode_shortcode_id=&#8221;144216&#8243;]Long headline to turn your visitors[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;126072&#8243;]Dr. of Engineering, Energy System Integration<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Contact<br \/>\n<\/strong>BASF<br \/>\nCarl-Bosch-Str. 38<br \/>\n67063 Ludwigshafen[\/vc_column_text][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;left&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;2\/3&#8243; uncode_shortcode_id=&#8221;254172&#8243;][vc_single_image media=&#8221;109389&#8243; dynamic=&#8221;yes&#8221; dynamic_source=&#8221;secondary&#8221; media_width_percent=&#8221;90&#8243; uncode_shortcode_id=&#8221;379836&#8243;][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; inverted_device_order=&#8221;yes&#8221; uncode_shortcode_id=&#8221;177304&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;327424&#8243;][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-156269&#8243; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;705488&#8243;]Research topic[\/vc_custom_heading][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;2\/3&#8243; uncode_shortcode_id=&#8221;118944&#8243;][vc_column_text text_lead=&#8221;yes&#8221; uncode_shortcode_id=&#8221;989755&#8243;]<strong>Electrical load forecasting with the help of the adaptive neuro-fuzzy inference system<\/strong><\/p>\n<p>This research attempts to propose a new approach to the problem of load forecasting in order to achieve more accurate results with a lower error rate. For this purpose, a methodology based on the theories of chaos and concept drift is introduced and the Adaptive Neuro-Fuzzy Inference System (ANFIS) plays the main role in training and testing the model.[\/vc_column_text][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; inverted_device_order=&#8221;yes&#8221; uncode_shortcode_id=&#8221;969672&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;327424&#8243;][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;623698&#8243;]Vita[\/vc_custom_heading][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; font_family=&#8221;font-613363&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;2\/3&#8243; uncode_shortcode_id=&#8221;484410&#8243;][vc_column_text text_lead=&#8221;yes&#8221; uncode_shortcode_id=&#8221;174422&#8243;]Ali Hashemifarzad has been working as a research assistant and doctoral student at the CUTEC Institute, Energy Research Center (EFZN) and at TU Clausthal since 2015. Prior to this, Mr. Hashemifarzad completed his Bachelor&#8217;s degree in Power Electrical Engineering at Semnan University in Iran. This was followed by a Master&#8217;s degree in Energy Systems Engineering at Clausthal University of Technology. During his studies, he completed two internships in the field of renewable energies and power plant technology. His research focuses on energy system analysis and simulation of various systems (e.g. wind turbines, multi-level converters, etc.). In his doctoral thesis, Mr. Hashemifarzad works on the analysis and prediction of electrical load using the Adaptive Neuro-Fuzzy Inference System (ANFIS).[\/vc_column_text][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; inverted_device_order=&#8221;yes&#8221; uncode_shortcode_id=&#8221;999580&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;327424&#8243;][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-156269&#8243; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;101820&#8243;]<\/p>\n<h4>Supervision<\/h4>\n<p>[\/vc_custom_heading][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; font_family=&#8221;font-613363&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;2\/3&#8243; uncode_shortcode_id=&#8221;484410&#8243;][vc_column_text text_lead=&#8221;yes&#8221; uncode_shortcode_id=&#8221;100214&#8243;]<\/p>\n<div class=\"grid__item seven-twelfths portable--auto lap--auto palm--auto top-no-padding bottom-no-padding active\">First supervisor: Prof. Dr. Martin Faulstich, TU Dortmund University<br \/>\nSecond supervisor: Prof. Dr. Christian Siemers, TU Clausthal<br \/>\nPlace of doctorate: TU Clausthal<\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;3&#8243; bottom_padding=&#8221;3&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; inverted_device_order=&#8221;yes&#8221; uncode_shortcode_id=&#8221;186898&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;327424&#8243;][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-156269&#8243; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;518938&#8243;]Keywords[\/vc_custom_heading][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; font_family=&#8221;font-613363&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;2\/3&#8243; uncode_shortcode_id=&#8221;484410&#8243;][vc_column_text text_lead=&#8221;yes&#8221; uncode_shortcode_id=&#8221;102932&#8243;]<\/p>\n<div class=\"grid__item seven-twelfths portable--auto lap--auto palm--auto top-no-padding bottom-no-padding active\">\n<p>Load forecasting, chaos theory, ANFIS, artificial intelligence, energy system modeling<\/p>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; 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icon=&#8221;fa fa-file-pdf-o&#8221; icon_color=&#8221;accent&#8221; size=&#8221;fa-4x&#8221; heading_semantic=&#8221;p&#8221; text_size=&#8221;h6&#8243; linked_title=&#8221;yes&#8221; uncode_shortcode_id=&#8221;208956&#8243; icon_color_type=&#8221;uncode-palette&#8221; link=&#8221;url:https%3A%2F%2Fwww.inzin.de%2Fwp-content%2Fuploads%2F2022%2F08%2FAli-Hashemifarzad_CV_engl..pdf|title:Download%20CV|target:_blank|&#8221; title=&#8221;Download CV (english)&#8221;][\/vc_icon][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;3&#8243; bottom_padding=&#8221;3&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; inverted_device_order=&#8221;yes&#8221; uncode_shortcode_id=&#8221;186898&#8243; 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animation_speed=&#8221;1000&#8243; width=&#8221;2\/3&#8243; uncode_shortcode_id=&#8221;484410&#8243;][vc_column_text text_lead=&#8221;yes&#8221; uncode_shortcode_id=&#8221;102688&#8243;]<\/p>\n<div class=\"grid__item seven-twelfths portable--auto lap--auto palm--auto top-no-padding bottom-no-padding active\">\n<div class=\"grid__item seven-twelfths portable--auto lap--auto palm--auto top-no-padding bottom-no-padding active\">\n<p>2018 \u201cThe Conceptual Design of Auto-Rotary Mono-Wing Decelerators Based on Maple Seeds as an entry decent landing system for Mars explorations\u201d, European Rotorcraft Forum, September 2018, TU Delft, Netherlands \u2013 2nd Author<\/p>\n<p>2018 \u201cNew approach in Load forecasting based on Concept Drift and ANFIS\u201d, International Conference on Sustainable Energy and Environment Sensing (SEES), June 2018 , University of Cambridge , Cambridge city, United Kingdom \u2013Oral presentation<\/p>\n<p>2018 \u201cImpact of Electromobility on the Future Standard Load Profile\u201d, 2nd international conference on Energy Economics and Energy Policy, ICEEEP 2018, Barcelona, Spain \u2013 Published in Conference Proceeding Journal<\/p>\n<p>2017 \u201cShort and Long Term load forecasting using Artificial Intelligence\u201d 12th SDEWES Conference, Dubrovnik, Croatia \u2013 Oral Presentation- Under review<\/p>\n<p>2016 \u201cCase study of CCS Vs. power plant phasing out as solutions for power plant produced CO2 emission control\u201d, 11th SDEWES Conference, Lisbon, Portugal \u2013 Published in Conference Proceeding Journal<\/p>\n<p>2016 \u201cApplication of heat storage in modern decentralized energy supply systems\u201d, Power to Heat 2016, Goslar, Germany- Published in Conference Proceeding Journal<\/p>\n<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;][vc_empty_space empty_h=&#8221;2&#8243;][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row row_height_percent=&#8221;0&#8243; 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