An improved cost estimation for unit commitment using backpropagation algorithm

Daily load is the main issue for many power plant industries that are affected by the varying maximum and minimum peak hours. Due to that, electricity is being used less during the weekends, compared to weekdays, where the spending is higher. The same logic is applied to day and night spending, which requires balancing among the units so that it can operate during high demand hours. The main problem is to determine the units that will be affected according to the operation schedule which means which unit, and for how long, will it stay on or off. In this context, the main objective for unit commitment in general was to minimize the total cost of operating a unit, and at the same time maintain the constraints met. Several approaches and techniques were used in existing studieseach has a solution for the optimal unit commitment problem. Some of the approaches presented would use complex methods in order to address the issues, while others would use simple forms to do the same task. The problem of operation scheduling for unit commitment would be different depending on the type of industry and according to the plan of mixing unit and operating constraints