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During the last few decades, Pakistan experienced an energy shortage as well as a surplus. Pakistan had previously undergone shortages of up to 7,000 MW but today has a surplus of 12,000 MW, after meeting peak demand. One of the key causes of the industrial sector's slump is a supply shortfall that slowed GDP growth. On the other hand, the current oversupply is producing a steady rise in electricity costs as well as circular debt. Intelligent demand management has the potential to decrease circular debt buildup while simultaneously reducing electricity prices. Demand Side Management (DSM) technologies provide intelligent load management by providing energy distribution companies with distinct incentives to lift the load from peak hour to off-peak hour by reducing the weighted average cost of generation (WACG). This research develops a DSM-based tool that allows for data analytics to evaluate the impact of demand variations on an hourly basis. While calculating its findings, the tool considers the rates of all Pakistani generation units, as well as other financial variables like required capacity and energy payments from IPP agreements. With only a 5% shift in demand from peak hour to off-peak hour, the utility will save significantly. Furthermore, the developed tool assesses the environmental impact of different operational sets of generating units.

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