Global photovoltaic solar panel dataset from 2019 to 2022. [PDF]
Li A, Liu L, Li S, Cui X, Chen X, Cao X.
europepmc +1 more source
Sphingomonas solaris sp. nov., isolated from a solar panel in Boston, Massachusetts. [PDF]
Tanner K +5 more
europepmc +1 more source
Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara +2 more
wiley +1 more source
Improving solar panel performance using a paraffin wax/copper oxide nanoparticle hybrid phase change material. [PDF]
Hammal A, Al-Qassabeen BS, Hafez K.
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
An integrated neutrosophic Z-numbers based CRITIC-EDAS decision model for smart solar panel evaluation in sustainable energy planning. [PDF]
Abbas MZ +4 more
europepmc +1 more source
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source
AI-Integrated autonomous robotics for solar panel cleaning and predictive maintenance using drone and ground-based systems. [PDF]
Kishor I, Mamodiya U, Patil V, Naik N.
europepmc +1 more source
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
Solar Panel Installation Workers Exposed to Pesticides During Two Agricultural Applications - Michigan, August 2023 and May 2024. [PDF]
TenHarmsel H +2 more
europepmc +1 more source

