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Wind power’s time has come

As reported in ÎÚÑ»´«Ã½â€™s 26th World Energy Markets Observatory (WEMO), wind power has seen 10% growth rates in recent years, and reached 30% of EU electricity generation.

As part of its ascendence, the wind energy sector has invested heavily in cloud-based data analytics and AI. In doing so, it anticipated big gains from real-time optimized performance, reduced downtime, and extended turbine lifespan – and ultimately new tech-style, service oriented business models where wind turbines sell digital services and data-driven insights.

But the industry has not seen this promised value. Why?

In this point of view, you’ll learn:

• How to enable decentralized control through Edge AI, and what a successful smart ecosystem that unleashes ‘the intelligence of things’ might look like
• Why cloud-based analytics have underdelivered for wind energy – and what specifically isn’t working
• How Edge AI will change business models, how it opens a whole new paradigm, and how to take advantage of these
• The benefits of Edge AI, for example – at the turbine level and at the global fleet level