Suchergebnisse

With the relatively low per capita electric power consumption in Africa, several electric power pools have been emerging recently. The South African Power Pool (SAPP), the first of those power pools, started operating in 1995 under the aegis of the Southern African Development Community (SADC). This paper attempts to assess the convergence pattern of relative per capita electric power consumption within the SAPP over the period 1995-2005. A comparative study across regions is first conducted. Evidence in support of neoclassical convergence hypotheses such as the β -convergence and σ -convergence is obtained. Stochastic convergence is investigated by applying panel unit roots tests. In contrast, stochastic divergence of electric power consumption is found. Additionally, stochastic kernel analysis provides some evidence of club-formation.

Accurate forecasting of electric demand is essential for the operation of modern power system. Inaccurate load forecasting will considerably affect the power grid efficiency. Forecasting the electric demand for a small area, such as a building, has long been a well-known challenge. In this research, we examined the association between geotagged tweets and hourly electric consumption at a fine scale. All available geotagged tweets and electric meter readings were retrieved and spatially aggregated to each building in the study area. Comparing to traditional studies, the usage of geotagged tweets is to reflect human activity dynamics to some degree by considering human beings as sensors, which therefore can be employed at the building level. High correlation is found between the human activity indicator and the power consumption as supported by a correlation coefficient level over 0.8. To the best of our knowledge, rare studies placed an emphasis on hourly electric power consumption using social media data, especially at such a fine scale. This research shows the great potential of using Twitter data as a proxy of human activities to model hourly electric power consumption at the building level. More studies are warranted in the future to further examine the effectiveness of the proposed method in this research.