Peak Electricity Demand Prediction Model for Sri Lanka Power System

Grey Prediction Model for Forecasting Electricity consumption

Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

Challenges in forecasting peak electricity demand

We want to forecast the peak electricity demand in a half-hour period in twenty years time. We have fifteen years of half-hourly electricity data, temperature data and some economic and demographic data. The location is South Australia: home to the most volatile electricity demand in the world.

Flexible Demand for Electricity and Power

Sri Lanka

Sri Lanka is a country with an approximate area of 66 thousand square kilometers (UNO, 2008). The population is 20,409,946 and the sex ratio (men per hundred women) is 98 (UNO, 2009). The proportion of the population under the age of 18 years is 28% and the proportion above age 60 is 8% (UNO, 2009). The literacy rate is 97% for men and 99% for women (UN Statistics, 2008). The life expectancy at...

Peak Electricity and the Clean Power Plan

Complex energy modeling is increasingly central to the development of electricity sector regulations, and perhaps increasingly necessary. But environmental agencies need to remain vigilant to avoid vulnerabilities created when models designed for broad energy system projections are repurposed for the design of detailed pollution control policies. All models are false, some are useful, and by im...