Prosumer concept and digitilization offer the exciting potential of microgrid transactive
energy systems at distribution level for reducing transmission losses, decreasing electric …

With the continuous advancement and exploration of science and technology, the future
trend of energy technology will be the deep integration of digitization, networking …

Energy consumption forecasting is essential for smart grid operations as it facilitates
electricity demand management and utilities load planning. In this paper data analytics has …

The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …

Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

The unpredictability and intermittency introduced by Renewable Energy Sources (RESs) in
power systems may lead to unforeseen peaks of energy production, which might differ from …

The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …

Accurate electric load forecasting is important due to its application in the decision making
and operation of the power grid. However, the electric load profile is a complex signal due to …

Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …