Short summary of every published IEC White Paper
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Humans use words, diagrams, images, context, but also sounds, facial expressions or body language to be understood. Machines use data and information models as well as algorithms to manipulate information, and human concepts need to be translated for machine use.
Artificial intelligence (AI) is continuously making inroads into domains previously reserved to humans. Robots support workers in the manufacturing sector; digital assistants automate office tasks; intelligent appliances order food based on owners’ preferences or control lighting and temperature in the home in preparation of their arrival. Increasingly sophisticated algorithms have the potential to help address some of humanity’s biggest challenges. They also bring about a number of risks and threats that businesses, governments and policy makers need to understand and tackle carefully.
Increasingly, electricity is generated outside of big power plants, for example through solar panels, small wind turbines or small hydro, and usually close to where it is consumed. When more energy is generated than consumed, surplus energy is fed back into the existing power network where it can negatively affect grid stability. Unlike with traditional power generation, these additional resources are often invisible to grid operators, who are unable to predict and control when energy is fed back into the network.
To enable and realize the true value of the internet of things (IoT), edge intelligence pushes processing for data intensive applications away from the core of the cloud to the edge of the network.
This radical transformation from the cloud to the edge, edge intelligence, will support trillions of sensors and billions of systems. It will treat data in motion differently from data at rest.
Energy is central to nearly every major challenge and opportunity the world faces. However, one fifth of the world population still lacks access to energy.
The interconnection of grids would open up an unprecedented opportunity to globally share the resources of the whole planet, bringing clean energy to everybody, everywhere in the world.
The Internet of Things (IoT) is an infrastructure of interconnected objects, people or systems that processes and reacts to physical and virtual information. IoT collectively uses today’s internet backbone to connect things using sensors and other technologies. Through data collection and analysis it achieves a multitude of outcomes that generally aim to improve user experience or the performance of devices and systems.
What will manufacturing look like in the future? How will humans and machines communicate with each other? Will our work environment adapt to our needs?
In the factory of the future humans will have to come to terms with an increasing complexity of processes, machines and components. This will require new operating concepts for optimized human-machine interaction.
Nimble, adaptive and intelligent manufacturing processes will be the measure of success. The combination of “virtual” and “real” in order to get a full view of the complete value chain will allow factories to produce products more rapidly, more efficiently and with greater return using fewer resources.
Worldwide, the electricity industry is facing a number of very significant challenges, and the first of these, listed by many electricity network business CEOs, is asset management.
While power networks in developed nations struggle with an equipment base nearing the end of its lifetime, those in developing countries wrestle with trying to identify best-practice examples to model their operations on. This is taking place against a background of changing regulatory environments, climate change, evolving consumer behaviour and new market dynamics.
By 2050, it is projected that 67% of the global population will live in cities. Smart cities are necessary to reduce emissions and to handle this rapid urban growth.
However cities, as we know them, are faced with a complex challenge – the traditional processes of planning, procuring and financing are not adequate for the needs of smart cities. Their development requires the right environment for smart solutions to be effectively adopted and used.