The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …

Energy consumption data are crucial for various smart energy management applications,
such as demand forecasting, customer segmentation, and energy efficiency analysis …

Residential energy consumption data and related sociodemographic information are critical
for energy demand management, including providing personalized services, ensuring …

Electronic healthcare record data have been used to study risk factors of disease, treatment
effectiveness and safety, and to inform healthcare service planning. There has been …

Load forecasting plays a crucial role in the world of smart grids. It governs many aspects of
the smart grid and smart meter, such as demand response, asset management, investment …

Today smart meters are widely used in the energy sector to record energy consumption in
real time. Large amounts of smart meter data have been accumulated and used for diverse …

Energy theft poses a significant threat to the power industry, causing financial losses and
grid instability. Existing detection methods often struggle with limited labeled data and the …

There is increasing interest in the potential of synthetic data to validate and benchmark
machine learning algorithms as well as reveal any biases in real-world data used for …

The process of data generation plays a significant role in various areas of computer science.
Software testing is probably the seminal example for usage of artificially created data. An …

With the rapid development of smart grids and increasing data collected in these networks,
analyzing this massive data for applications such as marketing, cyber-security, and …