This case study investigates energy consumption patterns and peak periods within various buildings in the City College of New York (CCNY), aiming to foster the development of effective energy management strategies. The research develops a simple MATLAB graphical user interface (GUI) tool, designed to simplify the future replication of similar analyses using new datasets. Ten distinct CCNY buildings were examined, using data from 2018 to 2022, which includes Administration, Baskerville, ComptonGeothals-Basement, Harris, Marshak, Shepard, Steinmann, Wingate, NAC-Boiler-Room, and NAC-North-Side. The methodology entails processing original excel files to extract relevant data, followed by a comprehensive analysis within MATLAB. This involves generating 2D and 3D plots to illustrate daily and hourly energy consumption patterns, in addition to highlighting peak consumption periods. Furthermore, a stacked bar graph illustrates the highest load hours annually for each building. The resulting data visualization offers insights into trends and temporal variations in energy consumption, thereby indicating potential opportunities for energy-saving interventions. The MATLAB GUI tool is a user-friendly tool, allowing selection and visualization of data based on user preferences. In summary, the study offers a comprehensive examination of energy consumption within CCNY buildings, highlighting the advantages of data-driven methods in optimizing energy usage. The developed MATLAB GUI tool is beneficial for designing policies and strategies to mitigate the environmental impact of buildings, suggesting its potential wider applicability in future energy management efforts.
","abstract_html":"<p>This case study investigates energy consumption patterns and peak periods within various buildings in the City College of New York (CCNY), aiming to foster the development of effective energy management strategies. The research develops a simple MATLAB graphical user interface (GUI) tool, designed to simplify the future replication of similar analyses using new datasets. Ten distinct CCNY buildings were examined, using data from 2018 to 2022, which includes Administration, Baskerville, ComptonGeothals-Basement, Harris, Marshak, Shepard, Steinmann, Wingate, NAC-Boiler-Room, and NAC-North-Side. The methodology entails processing original excel files to extract relevant data, followed by a comprehensive analysis within MATLAB. This involves generating 2D and 3D plots to illustrate daily and hourly energy consumption patterns, in addition to highlighting peak consumption periods. Furthermore, a stacked bar graph illustrates the highest load hours annually for each building. The resulting data visualization offers insights into trends and temporal variations in energy consumption, thereby indicating potential opportunities for energy-saving interventions. The MATLAB GUI tool is a user-friendly tool, allowing selection and visualization of data based on user preferences. In summary, the study offers a comprehensive examination of energy consumption within CCNY buildings, highlighting the advantages of data-driven methods in optimizing energy usage. The developed MATLAB GUI tool is beneficial for designing policies and strategies to mitigate the environmental impact of buildings, suggesting its potential wider applicability in future energy management efforts.</p>","abstract_has_math":false,"creators":["Muhit, Mazid"],"institution":null,"degree_name":"Master of Engineering (M.E.)","degree_level":"Thesis","degree_discipline":"Engineering","degree_department":null,"school":null,"contributors":["Ahmed Mohamed"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-01-01T08:00:00Z","date_published":"2023-01-01T08:00:00Z","updated_at":"2026-07-24T01:58:07Z","subjects":["Power","New York","City College","Energy Consumption","MATLAB GUI","Case Study","Load Profile","Building Energy Pattern","Distribution of Load","Power and Energy"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://academicworks.cuny.edu/cc_etds_theses/1150","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ahmed Mohamed"]},{"key":"dc:creator","label":"Author","values":["Muhit, Mazid"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2023-12-15T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Engineering (M.E.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Power","New York","City College","Energy Consumption","MATLAB GUI","Case Study","Load Profile","Building Energy Pattern","Distribution of Load","Power and Energy"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://academicworks.cuny.edu/cc_etds_theses/1150"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This case study investigates energy consumption patterns and peak periods within various buildings in the City College of New York (CCNY), aiming to foster the development of effective energy management strategies. The research develops a simple MATLAB graphical user interface (GUI) tool, designed to simplify the future replication of similar analyses using new datasets. Ten distinct CCNY buildings were examined, using data from 2018 to 2022, which includes Administration, Baskerville, ComptonGeothals-Basement, Harris, Marshak, Shepard, Steinmann, Wingate, NAC-Boiler-Room, and NAC-North-Side. The methodology entails processing original excel files to extract relevant data, followed by a comprehensive analysis within MATLAB. This involves generating 2D and 3D plots to illustrate daily and hourly energy consumption patterns, in addition to highlighting peak consumption periods. Furthermore, a stacked bar graph illustrates the highest load hours annually for each building. The resulting data visualization offers insights into trends and temporal variations in energy consumption, thereby indicating potential opportunities for energy-saving interventions. The MATLAB GUI tool is a user-friendly tool, allowing selection and visualization of data based on user preferences. In summary, the study offers a comprehensive examination of energy consumption within CCNY buildings, highlighting the advantages of data-driven methods in optimizing energy usage. The developed MATLAB GUI tool is beneficial for designing policies and strategies to mitigate the environmental impact of buildings, suggesting its potential wider applicability in future energy management efforts.
"]},{"key":"dc:title","label":"Title","values":["Data-Driven Analysis and Visualization of Energy Consumption Patterns In Academic Buildings Via Development of Matlab Gui Tool: A Case Study at The City College of New York From 2018-2022"]}]}],"canonical_facts":{"dc:contributor":["Ahmed Mohamed"],"dc:creator":["Muhit, Mazid"],"dc:date.available":["2023-12-15T08:00:00Z"],"dc:description.abstract":["This case study investigates energy consumption patterns and peak periods within various buildings in the City College of New York (CCNY), aiming to foster the development of effective energy management strategies. The research develops a simple MATLAB graphical user interface (GUI) tool, designed to simplify the future replication of similar analyses using new datasets. Ten distinct CCNY buildings were examined, using data from 2018 to 2022, which includes Administration, Baskerville, ComptonGeothals-Basement, Harris, Marshak, Shepard, Steinmann, Wingate, NAC-Boiler-Room, and NAC-North-Side. The methodology entails processing original excel files to extract relevant data, followed by a comprehensive analysis within MATLAB. This involves generating 2D and 3D plots to illustrate daily and hourly energy consumption patterns, in addition to highlighting peak consumption periods. Furthermore, a stacked bar graph illustrates the highest load hours annually for each building. The resulting data visualization offers insights into trends and temporal variations in energy consumption, thereby indicating potential opportunities for energy-saving interventions. The MATLAB GUI tool is a user-friendly tool, allowing selection and visualization of data based on user preferences. In summary, the study offers a comprehensive examination of energy consumption within CCNY buildings, highlighting the advantages of data-driven methods in optimizing energy usage. The developed MATLAB GUI tool is beneficial for designing policies and strategies to mitigate the environmental impact of buildings, suggesting its potential wider applicability in future energy management efforts.
"],"dc:identifier":["https://academicworks.cuny.edu/cc_etds_theses/1150"],"dc:subject":["Power","New York","City College","Energy Consumption","MATLAB GUI","Case Study","Load Profile","Building Energy Pattern","Distribution of Load","Power and Energy"],"dc:title":["Data-Driven Analysis and Visualization of Energy Consumption Patterns In Academic Buildings Via Development of Matlab Gui Tool: A Case Study at The City College of New York From 2018-2022"],"thesis:degree_discipline":["Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Engineering (M.E.)"]},"updated_at":"2026-07-24T01:58:07Z"}