This research proposes a novel framework for autonomous root cause fault analysis, in a
complex process with continuous learning. The potential root cause candidates are selected …

In the last years, the knowledge management methodology increased the perspective and
deeply analysis in the energy evaluation, with great emphasis in the training of the …

The power produced by photovoltaic systems have great importance in the current global
market. From small-scale applications to self-sufficient industries PV systems are planted for …

This paper presents a novel and flexible solution for fault prediction based on data collected
from SCADA system. Fault prediction is offered at two different levels based on a data-driven …

Due to the ongoing maintenance required for consistent generation efficiency, the rapid
expansion of photovoltaic (“PV”) energy generation as an alternative to conventional fossil …

The global paradigm shift from conventional energy resources to the renewable resources
has propelled the adoption of Photovoltaic (PV) as an alternative energy source. With the …

Photovoltaic (PV) energy use has been increasing lately and, being highly dependent on
environmental variables, its efficiency becomes a major factor for concern. Additionally …

In recent years, the overwhelming growth of solar photovoltaics (PV) energy generation as
an alternative to conventional fossil fuel generation has encouraged the search for efficient …

The photovoltaic (PV) array is the most sensible element in PV plants, which is subject to
different type of faults and defects. Thus, to keep these plants working efficiently they should …

Fault detection and diagnosis (FDD) in the photovoltaic (PV) array has become a challenge
due to the magnitudes of the faults, the presence of maximum power point trackers, non …