This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …

The high penetration rate of distributed energy brings severe challenges to the dispatch and
operation of power systems. Improving the accuracy of short-term power load forecasting …

In recent years, power load forecasting has become a hot and open issue in the field of
energy. However, the optimal model selection for power load forecasting is a tricky problem …

To reflect the trend of electricity consumption (EC) in China's Pearl River Delta (PRD) under
a balanced environment and economy, this paper proposes an EC forecasting framework …

Governments worldwide have adopted different public health measures in order to slow
down the spread of COVID-19. As a result, the electricity demand has been impacted by the …

The prediction of the load from a day ahead or a week ahead is called short-term load
forecasting. STLF using ANN gives better results in the power grid because the construction …

For the proper planning and operation of any electric power system, it is essential to have a
reliable software tool that allows for accurate short-term forecasting of electric power …

In power generation, a 24-hour load profile can vary significantly throughout the day.
Therefore, power generation must be adjusted to reduce money loss due to excess …

Transmission system operators have a growing need for more accurate forecasting of
electricity demand. Current electricity systems largely require demand forecasting so that the …

With the proliferation of vehicular mobility traces because of inexpensive on-board sensors
and smartphones, utilizing them to further understand road movements have become easily …