This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …

Research on dendrites has been conducted for decades, providing valuable information for
the development of dendritic computation. Creating an ideal neuron model is crucial for …

Neurons are the fundamental units of the brain and nervous system. Develo** a good
modeling of human neurons is very important not only to neurobiology but also to computer …

The ever increasing proportion of photovoltaic (PV), which is, in effect, a random and
intermittent energy source, makes PV power forecasting increasingly important for power …

With the fast growth of the international tourism industry, it has been a challenge to forecast
the tourism demand in the international tourism market. Traditional forecasting methods …

The dendritic neuron model artificial neural network, in which the dendrites in the biological
neuron are added to the artificial neural network model, has been able to perform better …

In recent research, dendritic neuron-based models have shown promise in effectively
learning and recognizing object motion direction within binary images. Leveraging the …

Accurate photovoltaic (PV) power prediction has been a subject of ongoing study in order to
address grid stability concerns caused by PV output unpredictability and intermittency. This …

Dendritic neuron model (DNM) that utilizes a single dendritic neuron to emulate the
information processing in human brains has been successfully applied to classification …

Recent research reveals that single neuron with flexible dendritic plasticity can perform
computation and information processing. Several dendritic neuron models have been …