Predicting electricity demands

Research published in the International Journal of Energy Technology and Policy shows how a neural network can be trained with a genetic algorithm to forecasting short-term demands on electricity load. Chawalit Jeenanunta ...

Trembling aspen leaves could save future Mars rovers

Researchers at the University of Warwick have been inspired by the unique movement of trembling aspen leaves, to devise an energy harvesting mechanism that could power weather sensors in hostile environments and could even ...

Chemical storage of renewable energies

In 2050, 80 percent of the electric power in Germany has to be based on renewable resources. To reach this goal, it is required to store electric power in the form of chemical energy carriers. Within the priority program ...

A thermo-sensor for magnetic bits

Scientists of the Department of Physics at the University of Hamburg, Germany, detected the magnetic states of atoms on a surface using only heat. The respective study is published in a recent volume of Science. A magnetic ...

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