{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/lfrt-a-matlab-toolbox-for-load-forecast","title":"LFRT, A MATLAB Toolbox for Load Forecast & Assesment of Additional Capacity for an Electrical Power System","arxiv_id":null,"date":"2016-04-12","proceeding":"Conference 2016 4","authors":["Hazoor Ahmad","Muhammad Tariq","Awais Qarni","Intisar Ali Sajjad"],"abstract":"A developing country like Pakistan with sizable\r\npressure on their limited financial resources can ill afford\r\neither of these two situations about energy forecast: 1) Too\r\noptimistic 2) Too conservative. Unlike all other field of\r\nresearch, load forecasting and reliability fields were lagging\r\nsuch a tool that can provide a juncture of all the function of\r\nload forecast and reliability on a single platform. Before the\r\nevolution of LOLP assessments of additional capacity of a\r\npower generating system was a big problem with different\r\ninaccurate solutions. This paper presents LFRT, a MATLAB\r\nToolbox that contains set of routines to calculate the Load\r\nForecast for medium term and long term, Capacity outage\r\nrates, capacity outage probability, and LOLP and LOLE, in\r\ncase of unit’s availability-unavailability, load forecast\r\nuncertainty and addition or removal of units. Along with\r\nseveral other examples, LFRT is employed to solve for the\r\nassessment of additional capacity of hypothetical model of\r\nTarbela hydro power plant after the installation of Tarbela-IV\r\nExtension Project.","url_abs":"https://www.academia.edu/32227321/LFRT_A_MATLAB_Toolbox_for_Load_Forecast_and_Assesment_of_Additional_Capacity_for_an_Electrical_Power_System","url_pdf":"https://www.academia.edu/32227321/LFRT_A_MATLAB_Toolbox_for_Load_Forecast_and_Assesment_of_Additional_Capacity_for_an_Electrical_Power_System","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"lfrt-a-matlab-toolbox-for-load-forecast","repo_url":"https://github.com/hazooree/lfrt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"load-forecasting","task_name":"Load Forecasting"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}