The energy production efficiency of photovoltaic (PV) systems can be degraded due to the
complicated operating environment. Given the huge installed capacity of large-scale PV …

Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …

With the increasing popularity of photovoltaic (PV) systems, both academia and industry
have been paying growing attention to fault prediction and health management. Although …

We use the physics-informed neural network to solve a variety of femtosecond optical soliton
solutions of the high-order nonlinear Schrödinger equation, including one-soliton solution …

The anomaly detection in photovoltaic (PV) cell electroluminescence (EL) image is of great
significance for the vision-based fault diagnosis. Many researchers are committed to solving …

Defect recognition is an important task in intelligent manufacturing. Due to the subjectivity of
human annotation, the collected defect data usually contains a lot of noise and …

Machine learning draws its power from various disciplines, including computer science,
cognitive science, and statistics. Although machine learning has achieved great …

The inspection and diagnosis of building engineering involve health monitoring of buildings
and related facilities, and the utilization of renewable energy, such as solar energy, is crucial …

Electroluminescence (EL) images enable defect detection in solar photovoltaic (PV)
modules that are otherwise invisible to the naked eye, much the same way an x-ray enables …

Monitoring and maintenance of photovoltaic (PV) systems are critical in order to ensure
continuous power generation and prevent operation drops. Manual inspection of high …