Revolutionizing power utility with AI
The use of renewable energy to replace fossil fuels is gaining traction as economies across the globe continue to set their carbon neutrality targets.
bySaqib Saeed, Asad Tariq
The use of renewable energy to replace fossil fuels is gaining traction as economies across the globe continue to set their carbon neutrality targets. Along with centralized renewable energy generation centers, clean electrification is also accelerating the widespread deployment of distributed generation sources. The concept of a smart grid has also transformed customers into “prosumers,” allowing them to participate actively in the energy markets. Following these innovative trends in of power sector, the power grid is growing its interaction with new computing technologies such as Artificial Intelligence (AI), blockchain, and robotics.
The power grid is becoming bi-directional, allowing multiple generation sources to feed more volatile loads, such as electric vehicles as well as conventional loads. The notion of powering the grid with different resources such as base load power plants, renewables, energy storage, and electric vehicles is exciting, but it also poses certain challenges in terms of managing grid operations. To address the rising problems associated with the ongoing transformation in the power sector, utilities must embrace flexible and scalable grid management methodologies. The modern grid is rapidly moving towards smart grids, combining the domains of the Internet of Things (IoT) and telecommunication with the power network, transforming the power grid into an information grid. The data logged by the advanced monitoring devices in the power network enables utilities to incorporate advanced computing tools, such as AI, to effectively manage and operate the power grid through data-driven strategies.
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