To cope with the demand and supply of electrical load of an interconnected\npower system of a country, we need to forecast its demand in advance. In this\npaper, we use a fuzzy system to forecast electrical load on short-term basis.\nHere, we consider temperature, humidity, seasons of a year and time segments\nof a day as the parameters, which govern the demand of electrical load.\nFor each of the parameter, we use several membership functions (MFs) and\nthen apply the Mamdani rule on MFs and the output is determined by using\nthe centroid method. Finally, the surface plot reveals the real scenario of the\nload demand. The difference between actual load and the output of the fuzzy\nsystem is found as +1.65% to -13.76%. The concept of the paper can be applied\nin interconnected power system of Bangladesh to reduce power loss,\nespecially when generation is higher than the demand.
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