Results 221 to 230 of about 276,691 (330)
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Forest understory trees revealed using sufficiently dense airborne laser scanning point clouds. [PDF]
Hamid Hamraz +2 more
openalex
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Revisional Notes on the Cloud Forest Butterfly Genus Oxeoschistus Butler in Central America (Lepidoptera: Nymphalidae: Satyrinae). [PDF]
Pyrcz TW +5 more
europepmc +1 more source
Description of the larva ofArgia jujuyaRis (Coenagrionidae) with a key to species from the Argentinean Yungas cloud forest [PDF]
Carlos Molineri, José S. Rodríguez
openalex +1 more source
ABSTRACT Two large‐scale experiments investigated fire spread mechanisms in vegetation ground fires in a pine forest and an agricultural field within the European TREEADS project. The tests, conducted in Saxony‐Anhalt and Brandenburg, targeted regions with dry, sandy soils and extensive pine stands and aim to improve suppression strategies and wildfire
Andrea Klippel +6 more
wiley +1 more source
Climate-Affected Australian Tropical Montane Cloud Forest Plants: Metabolomic Profiles, Isolated Phytochemicals, and Bioactivities. [PDF]
Gempo N, Yeshi K, Crayn D, Wangchuk P.
europepmc +1 more source

