AI & CLOUD
Implementing AI and Cloud software can help optimise energy grids and manage renewable sources , including wind power
WRITTEN BY : SAM STEERS
Artificial intelligence ( AI ) and Cloud software drive energy innovation in a number of different ways , from automating the optimisation process of energy grids to fully managing maintenance schedules and power flow .
They can also aid in disaster prevention , predicting and identifying issues such as faulty transmission lines , failing transformers , and system overloads . Couple this to deeplearning , the power of AI and the Cloud and the role that they play in the sector is truly transformational .
Furthermore , cloud computing alone presents a range of opportunities to energy suppliers . Cloud data backup , for instance , means that energy companies can comply with market regulations more easily whilst compiling regulator information can be achieved using automated analytics and reporting .
One area where their impact on the sector has really shown promise , though , is in the regulation of wind power . Since wind power generation relies on the weather , having the ability to predict its power output accurately has , in the past , alluded industry leaders , but by leveraging artificial intelligence to combine weather and satellite data , other weather prediction models and historical analysis , it becomes much easier to form an estimate of power output .
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