Energy is essential to the development of an economy and society. In recent years, China's rapid economic has created "China Miracle", but it also led a sharp increase in energy consumption China. To ensure achievement ambitious goal reaching carbon peak by 2030, great significance study total China order promote national conservation emission reduction actions. This paper constructs models GM(...

Though the power supply scenario in Assam is not comparable with other developed states of India, yet it improving gradually. With increasing household electrification rate, income and technological development, share Domestic electricity consumption state experiencing a rapid growth comparison to sectors like Industry, Commerce, Agriculture etc. therefore forecasting domestic become very impor...

In this paper we make research in Residential short-term load forecasting. Different application scenes have different affecting factors of short-term load, so we should specifically analysis of factors that affect the load of the residential electricity. We use SPSS (Statistic Package for Social Science) to figure out the relationship between the daily load and temperature, weather conditions ...

Load forecasting plays a critical role in Smart Grid. As there have been various types of customers with different behaviours in a Smart Grid, it would benefit load forecasting if customer behaviours were taken into consideration. This paper proposes a novel load forecasting method that efficiently explores customers’ power consumption behaviours through learning. Our method uses L1-CCRF to ini...