What makes Efficient Computer’s Electron E1 stand out is the programmable nature of the system’s dataflow. The chip has a ...

When the current method for producing something is estimated to consume a staggering 1–2% of the annual global energy supply, ...

Abstract: Machine learning-based power flow estimation is a critical technique for modeling the operational state of power systems. However, traditional power flow estimation methods face limitations ...

Nuclear microreactors—compact, transportable power sources that can produce up to 20 megawatts of thermal energy—could one ...

The algorithm is grounded in math and physics and allows a nuclear microreactor to automatically control its thermal power.

Abstract: As the proportion of renewable energy power generation continues to increase, the volatility of power supply and load is enhanced, the balance mechanism of the power system is transformed, ...