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The complication of economic load dispatch (ELD) of an electrical power system can be considered as an optimization problem with constraints to minimize the cost and emission concurrently. The optimization problems with various objectives gain significant momentum and priority with the advancements in renewable energy sources (RESs). Many techniques have been put forward to dispense this issue, but it still remains a challenging one. The exis-

Summary An energy management system that uses the Internet of Things structure using hybrid system is proposed. The proposed hybrid technique is the joint execution of both Giza pyramids construction and human urbanization algorithm and is commonly named as combined Giza Pyramids Construction, Human urbanization algorithm (GPCHUA) technique. The major aim of the proposed technique is to optimally accomplish the power and resources of the distribution system. Moreover, the proposed scheme is in charge to fulfil the general supply and energy demand. At last, the efficiency of proposed scheme is portrayed on MATLAB/Simulink and evaluated with various existing techniques like Deer hunting optimization, bacterial foraging optimization, and crow search optimization. The comparison outcomes prove the superiority of the GPCHUA system and confirm their potential to solve the problem.

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