Abstract
The electricity market of China is currently in the process of a new institutional reform. Diversified electricity retail entities are gradually being established with the opening of the marketing electricity side. In the face of a complex market environment and fierce competition, the operating efficiency can directly reflect the current market position and development of electricity retail companies. TOPSIS method can make full use of the information of original data, calculate the distance between evaluated objects and the ideal solutions and get the relative proximity, which is generally used in the overall department and comprehensive evaluation of the benefits. Least squares support vector machine (LSSVM), with high convergence precision, helps save the training time of algorithm by solving linear equations and is used to predict the comprehensive evaluation value. Considering the ultimate goal of sustainable development, a comprehensive evaluation model on operating efficiency of electricity retail companies based on the improved TOPSIS method and LSSVM optimized by modified ant colony algorithm is proposed in this paper. Firstly, from the view of sustainable development, an operating efficiency evaluation indicator system is constructed. Secondly, the entropy weight method is applied to empower the indicators objectively. After that, based on the improved TOPSIS method, the reverse problem in the evaluation process is eliminated. According to the relative proximity between the evaluated objects and the absolute ideal solutions, the scores of comprehensive evaluation for operating efficiency can then be ranked. Finally, the LSSVM optimized by modified ant colony algorithm is introduced to realize the simplified expert scoring process and fast calculation in the comprehensive evaluation process, and its improved learning and generalization ability can be used in the comprehensive evaluation of similar projects. The example analysis proves that the comprehensive evaluation model proposed in this paper can provide scientific and effective evaluation results of the operating efficiency of electricity retail companies.
Highlights
The operating efficiency of an enterprise refers to the profitability in carrying out a series of production and business activities
From the view of sustainable development, an operating efficiency evaluation indicator system of electricity retail companies is proposed and a comprehensive evaluation model on operating efficiency of electricity retail companies based on the improved TOPSIS method and Least squares support vector machine (LSSVM) optimized by modified ant colony algorithm is applied to have a comprehensive evaluation of the operating efficiency of electricity retail companies
The fourth section combines the improved TOPSIS method and LSSVM optimized by modified ant colony algorithm and constructs the comprehensive evaluation model for operating efficiency of electricity retail companies
Summary
The operating efficiency of an enterprise refers to the profitability in carrying out a series of production and business activities. [25] put forward an energy-saving and emission reduction contribution evaluation indicator system from the generation side, supply side and demand side of electricity He constructed a comprehensive evaluation model based on TOPSIS and entropy weight to obtain the ranking of energy saving and emission contribution of different power grid enterprises, which was of great guiding significance to the development of energy conservation and emission reduction. The fourth section combines the improved TOPSIS method and LSSVM optimized by modified ant colony algorithm and constructs the comprehensive evaluation model for operating efficiency of electricity retail companies. The fifth section adopts a practical example to prove that the improved TOPSIS method and LSSVM optimized by modified ant colony algorithm proposed in this paper can evaluate the operating efficiency of electricity retail companies of power grid enterprises with comprehensiveness, scientificity and validity.
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