In recent years, global warming has become worse and energy supplies have become tighter, so the need for an energy transition is more urgent. To change the energy mix and reduce environmental ...

With the rapid advancement of socioeconomic development and urbanization, urban vehicle populations have witnessed an exponential growth trend, accompanied by continuously increasing traffic volume.

Discovering new drugs is a complicated, time-consuming, costly, risky and failure-prone process. However, about 80% of the drugs that have been approved so far are targeted at protein targets, and 99% ...

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...