Lina Yuan

The Application Analysis of Data Mining-Based Energy Internet and Big Data

The increase of energy utilization efficiency, the improvement of energy efficiency level, and the reduction of pollutant emission are the main targets of Chinas energy revolution. A series of energy technologies, energy management and energy supplies, such as the production, transformation, configuration and consumption of energy in the background of Energy Internet (EI), are moving in developing more diversified, cleaner, and highly efficient direction. With parallel network of distributed energy and implementation application of various smart watches and energy storage equipment, the amount of data involved in the intelligent terminal will be exponential growth, the workload of EI on data information processing is increasingly growing. This paper focuses on the application analysis of EI and big data (BD) based on data mining methods, and takes the operation model of electric vehicles (EV’s) charging and discharging data analysis based on vehiclecooperation as a classical case.

Saving energy and protecting environment of electric vehicles

With the concept of low carbon economy, saving energy, and protecting environment spread, the development of the electric promotes the research pace of wireless charging electronic vehicles, which will become the best choice of energy supply in the future. To generalize and exploit the corresponding alternative fuels and the research and development, and promotion of electric vehicles, becomes the effective means to directly reduce the consumption of fuel, effectively relieves the problem of nervous energy and environmental pollution, and really conforms to the requirements of the national strategy of sustainable development in China. This paper introduces the status of electronic cars and wireless charging, expounds the principle of wireless charging, and concludes the full text.

Cooperative MIMO technology in multiple hops wireless sensor networks

The limited lifetime is one of the important factors restricted wireless sensor networks (WSNs), when possible, wireless nodes often operate with small batteries, while battery replacement is a very difficult and expensive. So the nodes must work long hours in the case of no battery replacement. Therefore, in WSNs, minimizing energy consumption is an important design consideration, at the same time, the transmission strategies of energy efficiency must be used for data forwarding. This paper, using cooperative multiple input multiple output(MIMO) technology combined with multiple hops technology, has put forward a new transmission model, i.e., the MIMO-MISO(multi-input multi-output)/MIMO-MIMO model. Simulation results demonstrate the proposed MIMO-MISO/MIMO-MIMO to minimize energy consumption of each node every node for multi-hop WSNs, to save a great deal of energy for a larger transmission distance, which makes the life of the entire network be extended.