Recent advances toward sustainable cities have promoted the concept of near-zero energy
consumption. A Positive Energy Building (PEB) model has been developed by the European …

In accordance with the rapid proliferation of machine learning (ML) and data management,
ML applications have evolved to encompass all engineering disciplines. Owing to the …

Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate
when diagnosed at early stages. Learning-based methods hold significant promise for the …

Load shapes derived from smart meter data are frequently employed to analyze daily energy
consumption patterns, particularly in the context of applications like Demand Response …

Artificial intelligence (AI) is fast becoming a general purpose technology with outstanding
impacts in industries worldwide, thus supporting the Industry 4.0 revolution. In particular, the …

The present study proposes clustering techniques for designing demand response (DR)
programs targeting commercial and residential prosumers. The goal is to alter the …

As a core tool, anomaly detection based on a generative adversarial network (GAN) is
showing its powerful potential in protecting the safe and stable operation of industrial control …

To address the inflexibility of the convolutional autoencoder (CAE) in adjusting the network
structure and the difficulty of accurately delineating complex class boundaries in power load …

Establishing a new type of electricity system based on rooftop photovoltaics (PV) can
facilitate the energy transition in rural China. Research on the mismatch between the PV …

Load patterns represent a clear picture of electricity usage, reflecting the consumer's habits.
Previous works mainly focused on load patterns discovery on a fixed scale, but limited to …