The number of decentralized photovoltaic (PV) systems generating electricity has increased
significantly, and its monitoring and maintenance has become a challenge in terms of …

As a mean to monitor the rapid expansion of the highly decentralized PV market, identifying
solar energy systems in aerial imagery by deep machine learning, is a research field that is …

Future energy systems have a major difficulty in ensuring a reliable supply of electricity
without affecting the environment, and numerous innovative renewables-based solutions …

A worldwide transition towards sustainable energy systems requires the diffusion of
renewable electricity technologies. To achieve this, recent research has put emphasis on the …

In Sweden, the installations of solar photovoltaic systems are growing rapidly, and
especially the market segment of small-scale distributed systems is experiencing positive …

The present study introduces a novel approach employing weightless neural networks
(WNN) for the detection and diagnosis of visual faults in photovoltaic (PV) modules. WNN …

This paper discusses the potential for green-hydrogen production in a run-of-river
hydropower plant. This particular hydropower plant has no significant water accumulation …

The German government's goal of achieving climate neutrality by 2045 and increasing the
use of renewable energy, particularly wind and solar power, has public support. However …

Purpose With more cities aiming to achieve climate neutrality, identifying the funding to
support these plans is essential. The purpose of this paper is to exploit the present of a …

Two concurrent trends may fundamentally change how we understand the role of solar PV at
high latitudes. Until now, relatively low annual insolation in combination with low electricity …