Unlocking the Value of IoT: A Cognitive Energy System Future by Liang Downey
IoT creates huge amount of data and it can become a stress factor for organizations. A Cognitive New Energy System will consume less resources based on knowing the real-time energy demand, weather, consumption, thus it only generates the right amount of energy when and where it is needed. The system not only captures machine2machina and human2machine knowledge from the past by learning from each interaction but also be able to predict future behaviors.
To thrive amid the DER complexity and digital disruption, the new energy sector must overcome struggles unlocking the value of massive amount of IoT data that is largely underutilized to better manage system, offer new customer solutions that delights them, such as energy trading. Cognitive-based systems are unique in their ability to make sense of all kinds of data to build knowledge and provide confidence weighted actions. This capability is critical to build the new energy future that is more distributed, flexible, efficient and sustainable
Liang works for IBM as a Business Development Executive for IBM’s New Energy and Environment Group. She promotes emerging solutions that leverage IOT, analytics and cognitive computing to better balance the distributed energy supply and demand, eliminate energy waste and reduce GHG emission. Her professional experience spans over 20 years in consulting, program management and emerging technology development across multiple industries. For 5 years at a renewable energy start up, she helped the company grow, from business strategy and partnership to licensing company’s IP.
Liang joined a group of volunteers to support the IEEE Humanitarian Technology Challenge (HTC) in 2009. HTC was designed to enable remote villages in regions of the world that lack access to electricity by deploying mobile solar trailers built-in with stationary battery, home batteries, as well as LED lightings and phone charger, to light up and digitize dark homes. HTC has since evolved into IEEE Smart Village initiative today.
Ms. Downey earned a Master Degree in Electrical Engineering from Clarkson University in New York, with GPA 4.0/4.0. She received her MBA in Finance from Wayne State University in Dec.2014.
Publication Year: 2018
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