Power use is higher compared with lower power devices, execution time is reduced, so energy could be reduced overall

Refer Paper "Using SRAM Based FPGAs for Power-Aware High Performance Wireless Sensor Networks" Linked to http://www.mdpi.com/1424-8220/12/3/2667

Hi Varun

Some off-the-shelf ideas:

(1) Prediction of electrical power use in plants, grids, end-user supply lines.

This can be done with time series predicting neural networks. And/or there might be some AI learning, e.g. with Genetic Algorithms. Both NN and GA are very parallel, where implementation in FPGA is no match for software approach

There are also some DSP techniques involved; e.g. Fourier can help to reveal cycles in power consumption. Fourier, wavelets, filters ...

(2) Prediction of telecommunication lines load - as above.

cheers

Przemek