The identification of parameters in solar cell models is still a major challenge in photovoltaic
(PV) system simulation and design. Because of its more basic ideas, efficiency, adaptability …

This study investigates the relevance of semantic segmentation of remote sensing images in
urban planning and land use. We introduce a novel deep learning model that leverages the …

Photovoltaic panels can be affected by partial shading, which causes some shaded cells to
consume the energy generated by other cells of the panel. That is, shaded cells stop …

This paper deals with the problem regarding the optimal placement and sizing of distribution
static compensators (D-STATCOMs) in radial and meshed distribution networks. These grids …

In this paper, we address the problem of the optimal power dispatch of Distributed
Generators (DGs) in Alternating Current (AC) networks, better known as the Optimal Power …

This paper presents the method we followed to design a microgrid at a university campus
based on available resources. Due to introduction of renewable resources to produce …

In this paper, the estimation of solar cell parameters in the Bishop model was developed.
The parameter estimation was formulated as an optimization problem. Several techniques …

Power flow, planning, economics, dispatch, and stability analysis rely on accurate
transmission line parameters (TLPE). Standard optimization methods are employed to …

In this investigation, a novel application of the RIME optimizer with neighborhood centroid
opposite solution is introduced to robustly estimate parameter values for an accurate …

Accurate estimation of photovoltaic (PV) power generation can ensure the stability of
regional voltage control, provide a smooth PV output voltage and reduce the impact on …