Economic and emission-based 24-hour load dispatch using Differential Evolution in MATLAB is a computational approach aimed at optimizing the scheduling of power generation units over a 24-hour period. Differential Evolution is a metaheuristic optimization algorithm used to find the best solution for multi-dimensional problems. In this context, the objective is to minimize both economic costs and emissions associated with power generation while meeting the demand throughout the day. By utilizing MATLAB, engineers and researchers can model the power system, including various generation units, constraints, and demand profiles. The optimization algorithm iteratively adjusts the output of each generation unit to achieve the optimal balance between economic efficiency and environmental sustainability. This approach enables the development of optimal dispatch schedules that consider factors such as fuel costs, emission levels, and operational constraints, thereby contributing to the efficient and environmentally friendly operation of power systems.