With the widespread application of energy storage stations, BMS has become an important subsystem in modern power systems, leading to an increasing demand for improving the accuracy of SOC prediction in lithium-ion battery energy storage systems. Currently, common methods for predicting battery SOC include the Ampere-hour integration method, open circuit voltage method, and model-based prediction techniques. However, these methods often have limitations such as single-variable research, complex model construction, and inability to capture real-time changes in SOC. In this paper, a novel prediction method based on the KF-SA-Transformer model is proposed by combining model-based prediction techniques with data-driven methods. By using temperature, voltage, and current as inputs, the limitations of single-variable studies in the Ampere-hour integration method and open circuit voltage method are overcome. The Transformer model can overcome the complex modeling process in model-based prediction techniques by implementing a non-linear mapping between inputs and SOC. The presence of the Kalman filter can eliminate noise and improve data accuracy. Additionally, a sparse autoencoder mechanism is integrated to optimize the position encoding embedding of input vectors, further improving the prediction process. To verify the effectiveness of the algorithm in predicting battery SOC, an open-source lithium-ion battery dataset was used as a case study in this paper. The results show that the proposed KF-SA-Transformer model has superiority in improving the accuracy and reliability of battery SOC prediction, playing an important role in the stability of the grid and efficient energy allocation.

During the ‘13^th Five-Year Plan period’ (2016–2020), one of the main targets for China's energy strategy is to develop a new generation of power system, integrating high shares of renewable energy sources. This implies that the technology industrialisation of microgrid powered by distributed generation of renewable energy is becoming crucial. This paper carries out a comprehensive study of the status and challenges of developing microgrid, based on case studies of demonstration projects of microgrid in China during different developmental stages. The focus is on the effects of government policies, technical innovations and changes in the business model of electricity market on the promotion of microgrid in China and the reformation of electricity market in China. The ultimate target for the reformation of power system in China is to finish the transformation from a linear business model of centralised power system.

The rise of internet platforms meets people’s needs for a better life. However, the platforms also pose the risk of ecological monopolies. Using the methodology of economic analysis of law, with the help of ANT theory, the laws governing the operation of the platform ecosystem are discovered, and the paper analyzes the life cycle of digital platform development and figures out that the regulatory strategy for platforms should be adjusted to follow its life cycle and adopt more intuitive evaluation criteria for assessing market power. Meanwhile, the regulatory strategy for plat-forms could fully guarantee the active participation of multiple subjects, such as operators and consumers, in the platform’s governance. With the continuous advancement of data and algorithm technology, new content service providers will continue to emerge, and a new industry is developing. Besides the dynamic track analysis of platforms’ life cycles, another static research outcome is also given in this research. To ensure that the algorithmic technologies developed by the platform truly contribute to economic and social development and the well-being of people, the right to interpret algorithms and the establishment of scenario-based regulation of algorithms should be established.

In China, a mere copying and pasting of the regulative skeleton from the West aiming to enhance the quality of regulations would always invite criticism. With respect to the legal system of intellectual property rights protection, especially the digital copyright legal regime, it looks more like a paradoxical combination of the Western approach. Accomplished success has been achieved on the ‘black letter’ (doctrinalism) aspect. How­ever, there has been little awareness of the comparison from the perspectives of cultural, social, and political context (contextualism) where the regulation develops. This article reviews why and to what extent the cultural context matters in regard to the interaction between technology and digital copyright regulations. This research will eventually come to a conclusion that in those developing countries, such as China, legal transplant could still need to be carefully selected and tailored to the socio-cultural and economic demands of that country.