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PARTNERSHIP STUDY " In the future, we anticipate an en- ergy sector rich with algorithmic balanc- ing, automated asset optimisation, soware platforms managing the interac- tions between multiple actors and truly cross-vector provision of energy." These were the words of the Energy Data Taskforce, which was established to give minis - ters clarity on the opportunities offered by the vast amount of digital information now col- lected by the sector. "Greater data openness will provide far superior price and market visibility, increase liquidity and drive investment into the right technologies, loca - tions and solutions for the sys- tem, all delivering better system and price outcomes for consum- ers," added the taskforce in its June 2019 report. But Laura Sandys, chair of the taskforce, tells Network there is quite a mountain for the industry to climb to make the most of its data. "As a group of companies The rise of the machines As energy supply and demand rapidly evolve, the future of electricity generation and distribution becomes ever harder to predict. Fortunately technology is improving at the same pace, giving network operators the opportunity to stay ahead of the growing challenge. In this partnership study, brought to you by Network in association with Kelvatek, we investigate the role of machine learning in development of the smart grid, what the challenges are to its widespread use – and how these can be overcome. and regulators we are quite far behind the curve when it comes to understanding the value of data and knowing how to man- age it," she says. "The food sector leads the way, along with transportation and manufacturing. The auto- motive sector is very seriously advanced. But it has never been asked of the energy sector. We NETWORK / 26 / OCTOBER 2019