This paper study the used of moving averages (MA) and Exponential smoothing techniques (EST) for load forecasting. The case study was in Universiti Teknologi PETRONAS (UTP),Malaysia. The study was divided by two types of load forecasting namely Semester On (SOn)and Semester Off (SOf). Later, MA and ESMT being used to forecast the usage load for bothSOn and SOf. The results indicated that ESMT gives better forecasting compared to MA in terms of less measurements of error e.g. Mean Absolute Percentage Error (MAPE). © 2013 Samsul Ariffin Abdul Karim and Saiful Azli Alwi.