PSO method for optimising the demand side management system for peak clipping and load shifting
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https://esango.cput.ac.za/articles/dataset/PSO_method_for_optimising_the_demand_side_management_system_for_peak_clipping_and_load_shifting/31564153/1
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This dataset contains all electricity load data, and tariff information used in the study <i>“PSO Method for Optimising the Demand Side Management System for Peak Clipping and Load Shifting”</i>. It supports research on Demand Side Management (DSM) strategies, including peak clipping, load shifting, and cost reduction across commercial, industrial, and residential sectors.<b>Contents:</b><b>Chapter 3 – Methodology:</b><b>Table 3.1:</b> Large-user low-voltage TOU tariffs for commercial customers in Paarl (2024–2025), including peak, standard, and off-peak rates.<b>Table 3.2:</b> Summary of high- and low-demand season tariffs with original peak load for DSM analysis.<b>Chapter 4 – Case Studies:</b><b>Case 1:</b> Hourly load profiles and TOU tariffs for a large commercial customer in Paarl.File: <i>Processed_Paarl_LPU_MVA.xlsx</i><b>Case 2:</b> Hourly load profiles for residential, commercial, and industrial sectors, with Grey Wolf Optimizer (GWO) applied for peak clipping and load shifting.File: <i>Forecasted_load_profiles.xlsx</i><b>Formats:</b>Excel (.xlsx) for all raw and processed datasets<br>
提供机构:
Cape Peninsula University of Technology
创建时间:
2026-03-12



