AimThe increase in empty-nest elderly individuals with chronic diseases poses a major challenge to the provision of public health services in China. Telenursing can effectively relieve the pressure of public health services to a certain extent. This study aims to explore the telenursing needs of empty-nest elderly individuals with chronic diseases based on the Kano model to provide references for improving the quality of telenursing.MethodsParticipants were selected from five rural communities and five urban communities in Yangzhou and Nantong, Jiangsu Province, China. A total of 348 empty-nest elderly individuals with chronic diseases were included. The participants received a sociodemographic characteristics questionnaire, and their telenursing needs were surveyed and analyzed based on the Kano model.ResultsOf the 15 quality attributes evaluated by the participants, 3 telenursing services were categorized as “must-be quality”, 5 were categorized as “one-dimensional quality”, 5 were categorized as “attractive quality”, and 2 were categorized as “indifferent quality”. The proportion of individuals who desired telenursing services ranged from 47.41 to 83.62%, the better values (satisfaction) ranged from 35.29–83.98%, and the worse values (dissatisfaction) ranged from 10.91 to 63.27%. There were no significant differences in any items of telenursing needs for between participants in Yangzhou and Nantong (all P > 0.05), and there were also no significant differences in all items between rural and urban communities (all P > 0.05).ConclusionBased on the Kano model, it was found that empty-nest elderly individuals with chronic diseases had a positive attitude toward telenursing and that they had different levels of need for different telenursing services. These findings provided a theoretical basis for medical decision-makers to formulate medical policies and provided a scientific foundation for nursing managers to improve telenursing services to meet the needs of the empty-nest elderly individuals with chronic diseases.

The top priority of a hydropower enterprise is to secure the safe, scientific, and economic operation of its power stations. The Dadu River Basin, the fifth largest hydropower base in China, is definitely vital to the grid security and stability in southwest China's Sichuan Province. Given the challenges faced by production O&M (operation and management), efforts were made to put forth solutions featuring multielement business quantification, multisource data integration, and multitarget intelligent collaboration, according to which, through the development and application of a number of key technologies for intelligent operation, hard work was done to promote management optimization simultaneously and realize the smart and autonomous operation of the 10‐million‐megawatt power station group in the basin.

Accurate tracking of load curves during transactions in the electricity generation process and timely identification and adjustment of aberrant electricity prices are key to ensuring profits from bidding in the production of enterprises. By selecting three judgement methods for curve similarity, i.e. Euclidean metric, correlation coefficient and mean square error (COE-MSE), and discrete Fréchet distance, this study tracked and compared an electricity generation curve, a transaction curve, and a bidding and declaration curve of a hydropower station where reservoirs have strong regulating capacity in a river basin in the Sichuan Province power grid. The advantages and disadvantages of the three methods were analysed and compared. The results demonstrate that the COE-MSE and discrete Fréchet distance can meet the requirements of electricity generation according to the transaction results when electricity generation enterprises participate in electricity spot trading. Furthermore, the discrete Fréchet distance shows advantages in identifying eigenvalues and tracking trends of the curves.

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