Big data energy storage technology

What is big data technology?

Research trends of big data technology for new energy power and energy storage system The use of big data technology is the key to the solution of multi-dimensional system problems, the improvement of operational efficiency, and the reduction of production costs.

What are the research trends of big data technology?

In the field of new energy power and energy storage systems, as shown in Fig. 4, the authors believe that big data technology research trends are mainly as follows: Fig. 4. Research trends of big data technologies in energy storage and power systems. 3.1. Mining based on multidimensional data of new energy power and energy storage system

Is there a cloud-based platform for power and energy storage big data?

Therefore, this study proposes a cloud-based platform for power and energy storage big data based on the current development trend, by investigating the current development status of power and energy storage systems and providing implications for the future development direction of power and energy storage technology in big data technology.

Are smart energy storage systems based on big data in the cloud?

Based on the above mentioned discuss, it shows that intelligent energy storage systems based on big data in the cloud are undergoing extensive research and development, and that more and more emerging technologies are set to drive the industry's development in the future.

What is big data technology in the energy field?

The application of big data technology in the energy field has been gaining prominence since 2013. A big data technology system is huge and complex, and related technologies emerging in the second phase include data mining (Chou and Bui 2014; Pan et al. 2015) and analysis, virtualization, and MapReduce.

Can big data save energy?

Early research frontiers involve optimization and prediction of energy-related problems using the genetic algorithm and neural networks. Since 2013, energy big data have gained prominence. At present, machine learning, deep learning, and fog computing are frequently combined with energy saving.