Lucy Electric, designs and markets smart grid solutions to Distribution Network Operators (DNO). The Company has expertise in low and medium voltage distribution automation smart grid, cable health monitoring, Artificial Intelligence (AI), machine learning and deep learning innovation in power engineering applications.
This is the first of three blogs on AI, machine learning and deep learning this blog provides an introduction to AI and how it is being applied.
- Artificial Intelligence (AI) is the ability of a computer program or machine to learn, think and reason, similar to the way a human can learn, think and reason
- Machine learning is a subset of AI and is the ability of a machine to learn from data and generally defined with 3 categories, supervised learning, unsupervised learning and reinforcement learning
- Deep learning a subset of machine learning, has outperformed many of the state-of-the-art algorithms and has become really successfully due to availability of big data and fast parallel computing
- AI/machine learning collects data, big data, from a network of devices. In the context of distribution automation and smart grid this could be a network of sensors in substations, equipment, meters, devices and appliances
- Big data from the wider network together with localised event data and simulated data is used to support machine learning and deep learning algorithms and provide additional more detailed information to manage various aspects of the grid including distribution automation, asset management, health models, network protection and fault management
- Lucy Electric are focused on applying Artificial Intelligence (AI), machine learning and deep learning to power engineering challenges in energy applications in the distribution smart grid
Blog 2 describes the application of AI to Detection and Localisation of Faults over LV Networks and Blog 3 the use of AI to support the introduction of electric vehicles to meet net zero carbon emissions by 2050.