This paper presents a comprehensive overview of load forecasting and demand side management techniques in power systems. The authors employ MATLAB to develop a model that accurately predicts electricity demand and subsequently optimizes energy consumption using various demand response strategies. The proposed method is shown to improve system reliability, reduce peak demand, and minimize energy losses. The study demonstrates the effectiveness of MATLAB in solving complex power system problems, particularly in the context of smart grids and load management.