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The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies.

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Currently, people in the whole world have recognized the necessity of sustainable development, and how to practice it takes more and more attention of scholars both home and abroad. The concept of Green is addressed in every area. But Green Human Resource Management (GHRM) is not a common concept in management practices at present in Jiangxi of China. Most of the Human Resource managers in Jiangxi are not aware of this concept and those who have heard about this concept do not have much clear concern of GHRM. This paper analyses the influencing factors of GHRM in Jiangxi. The data obtains from the questionnaire survey and is sorted out by spss23.0 and Amos21.0 software. The result is that enterprises of Jiangxi in the third-tier cities need to change the concept of leaders to implement green human resource management and pay more fines to the government in the short term.