As smart cities become not only the future idea, but also the current reality, artificial intelligence (AI) is on the stage. Advanced technology is at the forefront of this change, driving valuable strategies and optimizing all operations throughout the industry. These technologies are rapidly becoming solutions to realize smart city and clean city plans and net zero commitments.
Artificial intelligence is closely combined with the development of smart city. It is predicted that by 2020, artificial intelligence will become 30% of the key functions in smart city applications, compared with only 5% a few years ago. The implementation of artificial intelligence is rapidly being recognized as a non secret component to help major energy suppliers achieve their lowest carbon footprint, with unparalleled sustainability and attractive profit margins.
What makes cities “smart” is to collect and analyze a large amount of data from many departments, from metropolitan development and utility distribution to manual functions such as urban services. Smart cities need to build and maintain sensors, equipment and other systems designed to create sustainability and efficiency.
Changing the strategy behind the operation of urban public utilities is one of the main keys to make them smarter and more sustainable. AI solutions have made significant progress in this regard. As an executive of an artificial intelligence company that develops software for the utility sector, I am excited about the impact that advanced solutions have had on the industry.
A real example of AI supporting smart city utilities is NVIDIA metropolis platform, which uses intelligent video analysis to improve public services, logistics, etc. NVIDIA describes it as “creating more sustainable cities, maintaining infrastructure, and improving public services for residents and communities.” the company collects data from sensors and other Internet of things devices throughout the city to provide insights that help improve disaster response, asset protection, supply forecasting, and traffic management.
Another cutting-edge solution for building a smart city is the project led by xcell security house and finance SA. The project aims to build the world’s first power plant guided by cognitive artificial intelligence and promote the development of public utilities in West Africa. As the first factory to implement AI drive from scratch, it will use advanced sensor placement technology and technology to embed knowledge and expertise into each part of the facility process. Stakeholders will be able to more easily gain insight into the size of the facility, thereby creating a plant environment that can better reduce risk and maximize efficiency and productivity.
These are just two of the many emerging applications of artificial intelligence in the development of smart cities. When applying artificial intelligence, the industry can also achieve higher cost and operational efficiency in several key areas such as predictive maintenance, load forecasting / optimization, grid reliability, energy theft prevention and renewable resource optimization.
When discussing energy efficiency, many factors will be involved, including the influence of common environmental factors such as temperature and humidity level. Historically, experienced operators have the best ability to identify adjustments that improve efficiency. Today, cognitive AI is taking steps to encode human knowledge and expertise throughout the provider’s operations and provide advice immediately upon notification.
Interpretable AI builds the necessary trust for operators, engineers and stakeholders to quickly solve serious problems. The system’s smart situational awareness helps detect, anticipate and solve problems, even if conditions are changing – which are as important as the water and power supply of the whole city.
By helping the whole industry get closer to the goal of efficiency and net zero, artificial intelligence has played a major role in supporting the move towards a smart city. Achieving decarbonization will require more resource rich processes in the future to improve efficiency and reduce waste. Utility AI can improve productivity, attract more attention to resource consumption, and accelerate the adoption of renewable and carbon friendly strategies around the world.
According to a report by IDC, the global smart city technology expenditure reached US $80 billion in 2016 and is expected to increase to US $135 billion by 2021. Companies, industries and other entities wishing to participate in this important phase of digitization are imperative. Transformation is looking for industrial AI companies whose software provides overall, organization / Department / city wide insight through sensor placement technology and data collection technology.
Governments at all levels and public and private organizations are promoting technology implementation and digital transformation. Private and public partnerships have become the main mechanism for cities to adopt technologies that make cities smarter. The best approach is to use artificial intelligence that combines knowledge-based reasoning with advanced digital technology to help stakeholders distinguish unexpected situations and make difficult choices.
Choosing the most dynamic form of artificial intelligence to transform the public utility sector will make a great contribution to the development of smart cities. Strengthening communication, collaboration, increasing fuel savings and reducing waste will help companies – especially those in high-value industries – increase profits. Indelible process improvements, such as simplified operation capacity and more efficient coordinated operation of all facilities, are the future of smart city technology.