Smart grids are able to forecast customers' consumption patterns, ie, their energy demand,
and consequently electricity can be transmitted after taking into account the expected …

With the proliferation of Beyond 5G (B5G) communication systems and heterogeneous
networks, mobile broadband users are generating massive volumes of data that undergo …

As the role of information and communication technologies gradually increases in our lives,
software security becomes a major issue to provide protection against malicious attempts …

As machine learning and artificial intelligence (ML/AI) are becoming more popular and
advanced, there is a wish to turn sensitive data into valuable information via ML/AI …

The increasing transformation from the legacy power grid to the smart grid brings new
opportunities and challenges to power system operations. Bidirectional communications …

Smart meter-based individual load forecasts are more and more widely deployed to serve
smart grid and home energy management. Customary load forecasting systems collect a …

The introduction of advanced metering infrastructure (AMI) smart meters has given rise to
fine-grained electricity usage data at different levels of time granularity. AMI collects high …

Data privacy and security have become a non-negligible factor in load forecasting. Previous
researches mainly focus on training stage enhancement. However, once the model is …

The collection and storage of large‐scale load data in a smart grid provide new approaches
for the efficient, economical, and safe operation of power systems. Deep Learning (DL) has …

From self-driving vehicles, voice recognition based virtual digital assistants, smart
thermostats to recommendation systems, Artificial Intelligence (AI) is becoming a crucial part …