As Philadelphia strives to meet greenhouse gas emissions goals established in its 2050 Plan, a better understanding of how zoning can play a role in managing building energy use could set the city up ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output adjustments, according to a study led by University of Michigan researchers, ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

Experience from Yemen shows that repeated project implementation can significantly reduce the high costs of delivering energy in conflict zones through learning and improved efficiency. Over time, ...

AI machine learning uses so much computing power and energy that it's typically done in the cloud. But a new microtransistor, 100X more efficient than the current tech, promises to bring new levels of ...

Germany's Energielenker has launched a new energy management system that learns user behavior in buildings to optimize electricity generation and electric vehicle charging schedules. Its Enbas system ...