The intermittent and stochastic nature of solar resource hinders the integration of solar
energy into modern power system. Solar forecasting has become an important tool for better …

This review applies a transformer-based topic model to reveal trends and relationships in
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …

The decarbonization of urban energy systems relies heavily on Building Integrated
Photovoltaic (BIPV) technology, which harnesses solar energy from building envelopes …

In recent years, with the advent of mature machine learning products like ChatGPT, Stable
Diffusion, and Sora, the world has witnessed tremendous changes driven by the rapid …

With the increasing proportion of photovoltaic power generation in the power system,
accurate solar irradiance forecasting is crucial for power grid scheduling. The paper …

Solar radiation impacts diverse aspects of city life, such as harvesting energy with PV
panels, passive heating of buildings in winter, cooling the loads of air-conditioning systems …

Advances and fast development in emerging digital technologies trigger the next generation
revolution in energy areas and smart cities, while roles and mechanisms of digital …

Rooftop photovoltaic (PV) segmentation based on remote sensing images is highly applied
in solar potential assessment and prediction. Still, such methods often feature dataset …

The marine climate conditions are intricate and variable. In scenarios characterized by high
proportions of wind and solar energy access, the uncertainty regarding the energy sources …

This paper presents a novel framework that integrates Conditional Generative Adversarial
Networks (CGANs) and TimeGAN to generate synthetic Building-Integrated Photovoltaic …