Subscribed Power Optimization Using MATLAB, Python, and MS Excel Solver

Optimization of subscribed power refers to the process of determining the minimum amount of electrical power that a consumer needs to subscribe to from their energy supplier while ensuring that their electricity demand is met. This involves analyzing the consumer's historical power consumption data, identifying the peak load periods, and implementing load management strategies to reduce peak power demand. By optimizing subscribed power, consumers can reduce their energy costs and contribute to a more efficient and sustainable energy system. This paper proposes three methods to optimize this subscribed power and compares the results between them.