Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

State of charge (SOC) is the most important parameter in battery management systems
(BMSs), but since the SOC is not a directly measurable state quantity, it is particularly …

In the post-COVID-19 era, countries are paying more attention to the energy transition as
well as tackling the increasingly severe climate crisis. Renewable energy has attracted …

The higher heating value of biochar is an important parameter for the utilization of biomass
energy. In this work, extreme gradient boosting regression and artificial neural network were …

Drought is one of the major global natural disasters, and appropriate monitoring systems are
essential to reveal drought trends. In this regard, deep learning is a very promising approach …

The uncertainty of wind energy due to its non-stationary and random nature poses a major
challenge to engineers responsible for power system scheduling. In the present research, a …

For rapid nondestructive detection of peanut protein content, an experimental method
combining hyperspectral imaging technology and spectrophotometry was proposed. For …

Advanced artificial intelligence (AI) models typically achieve high accuracy in wind power
forecasting, but their internal mechanisms lack interpretability, which undermines user …

Cancer, the second largest human disease, has become a major public health problem. The
prediction of chemicals' carcinogenicity before their synthesis is crucial. In this paper, seven …

Supercritical once-through boiler-turbine units play a paramount role in maintaining grid
stability owing to their exceptional efficiency and flexibility. Nevertheless, achieving precise …