Smart Grid Project Benefit Evaluation Based on a Hybrid Intelligent Model

Abstract

With the accelerated development of smart cities, the construction and development of smart grids have an increasing impact on the safe and stable operation of power systems. The benefit evaluation of smart grids can find out the problems of smart grids more comprehensively, which is of great practical significance for the further development of smart cities. In order to ensure accuracy and real-time evaluation, this paper proposes a new hybrid intelligent evaluation model using an improved technique for order preference by similarity to an ideal solution (TOPSIS) and long–short-term memory (LSTM) optimized by a modified sparrow search algorithm (MSSA). First, a set of smart grid benefit evaluation index systems is established in the context of considering smart city development. Then, aiming at the reverse order problem existing in TOPSIS, an improved evaluation model with entropy weight and modified TOPSIS is established. Finally, an intelligent evaluation model based on LSTM with MSSA optimization is designed. The example analysis verifies the accuracy of the model proposed, points out the important factors affecting the benefits of smart grids, and provides a new idea to achieve effective evaluation and rapid prediction, which can help to improve the benefit level of smart grids.

Design of music intelligent recommendation based on user interest preference model

“…In the traditional data set used for recommendation field research, all items have a flat structure, but in YahooMusic data set, there is a hierarchical structure information between items. Specifically, items can be divided into four types: singer, album, song and genre 10 . In addition to music data, this hierarchical structure information can be obtained in many cases, for example, shopping websites like Amazon, goods and categories also have such a relationship.…”

Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model

“…In view of the fuzziness of expert opinions, the fuzzy analytic hierarchy process (AHP) method was used to assess the weights of each factor. By using the technique for order preference by similarity to ideal solution (TOPSIS) method, [ 24 ] the study proposed a maturity evaluation method for hospital ward systems (specific research process in Fig. 1 ).…”

Application of Robot Automation Technology Based on Machine Assisted and Artificial Intelligence in Distribution Network Overhead Line Engineering

“…Artificial intelligence, as a typical representative of the intelligent era and an important branch of computer science, has undergone rapid development since the 1970s, and is known as one of the three cutting-edge technologies of the new century along with energy technology and space technology. Artificial intelligence applies simulated information data to the daily production activities of society through computer technology, which is equivalent to a computer with human intelligence to achieve a higher level of application effect [2]. Although arising from computers, the scope of AI applications is not limited to the realm of computer science, but is all-encompassing and involves many disciplines in natural and social sciences.…”