Scientists show the potential of demand response in reducing carbon dioxide emissions

The new artificial intelligence framework estimates the potential of demand response in improving power consumption and reducing carbon footprints. Source: Guangzhou Science and Technology College

The grid is almost too large and cannot meet the short-term surge in energy demand. Simply put, the power station needs to have excess generators to provide electricity during peak hours. This mismatch between this power supply and the inefficient operation of the power station have led to higher carbon dioxide emissions. In addition, increasingly popular distributed energy, such as roof solar panels, only exacerbate supply and demand.

Fortunately, communication technology provides a smart policy to solve this problem: demand response (DR) program. In this scenario, the user is encouraged to reduce electricity at peak hours by reducing the electricity price other than the peak time and in advance. In addition, they can be integrated with distributed energy management to reduce the load of the grid when necessary.

However, there are very few research attention to the potential benefits of using the real user behavior data assessment DR program. To this end, Scientists of the Guangzhou Science and Technology Research Institute have developed a new method based on artificial intelligence (AI), which analyzes and extracts the behavior of grid users based on energy consumption of each household. Their papers were published in "IEEE Transactions On Smart Grid), the author describes a data-driven framework that estimates the best disaster relief management of each family, considering User home appliances and behavior patterns, as well as predictive power generation of distributed energy.

Researchers test their model by simulating data in real world. "In our simulation, we consider and quantify the degree of user discomfort related to household appliance dynamics, and then use it to estimate the best disaster-disaster potential," Professor JINO KIM "Professor Leaders explained. The research team also calculated the potential contribution of the disaster preparation program in reducing carbon dioxide emissions and managing coal-fired generators.

In summary, this study shows how to use artificial intelligence to improve our power consumption, achieve lower prices and smaller carbon footprints. Professor Gold emphasizes: "Analysis based on big data can convert family energy demand information to large-scale comprehensive resources." "We believe this technology will further expand to improve the efficiency and coupling of other departments, including water, heat , Gas and electric car sector. "

We certainly hope that his ideal is achieved soon.

On Artificial Intelligence: A new round of industrial revolution in artificial intelligence AI

Artificial intelligence is the current cutting-edge technology of technology, which will bring a new round of industrial revolution. Every big scientific and technological progress will change people’s lifestyle and habits, and artificial intelligence is no exception.

Today, social technology is rapidly developed, and the technology innovation has a new month. The sum of the human invention created by the human invention creation ratio of human invention in modern times. Scientific and technological progress brings people a longer life, richer food, larger living space. From the ocean to the land to the sky, even outer space, every place has technology power. We must respect science, but we also think about science.

Artificial intelligence also known as machine intelligence, it is a comprehensive discipline that has developed by computer science, control, informationism, neurophysiology, psychology, linguistics and other disciplines. From the perspective of the computer application system, artificial intelligence is how to create a man-made intelligent machine or intelligent system to simulate the ability of human intelligence activities to extend people’s intelligence.

Since the 1990s, with the development of hardware and software, the computer’s computing capacity has grown in an exponential level, while network technology is booming, ensuring that computers have sufficient conditions to run some requirement to be higher artificial intelligence software, and now Artificial intelligence has the basis for more realistic applications. At present, all countries in the world are investing a large number of human resources resources to study artificial intelligence.

The development direction of artificial intelligence and the impact on human beings

The development of technology is always more than people’s imagination. From some science fiction movies, some prospective research, we can know that future artificial intelligence may develop: fuzzy treatment, parallelization, neural network, and machine emotions. At present, artificial intelligence is a breakthrough, learning and associative function is being studied. The next step is to imitate the fuzzy treatment function of human right brains and the parallelization of the entire brain. Artificial neural network is a new field of future artificial intelligence applications, and future intelligent computers may be a combination of artificial neural networks that act as a host. Studies have shown that emotions are part of intelligence, rather than intelligent phase separation, so the next breakthrough in artificial intelligence may be to give computer emotional capabilities. Emotional Ability is critical to the natural exchange of computers and people.

Artificial intelligence has been in front of computer technology, the theory and discovery of artificial intelligence research to a large extent, will determine the development direction of computer technology. Today, there have been many outcomes of artificial intelligence research to enter people’s daily lives. In the future, the development of artificial intelligence technology will bring greater impact on people’s lives, work and education.