Reliable Cluster Head(CH)selectionbased routing protocols are necessary for increasing the packet transmission efficiency with optimal path discovery that never introduces degradation over the transmission reliability...
supported by the Changzhou Science and Technology Support Project(CE20235045);Open Subject of Jiangsu Province Key Laboratory of Power Transmission and Distribution(2021JSSPD12);Talent Projects of Jiangsu University of Technology(KYY20018);Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX23_1633).
Energy storage power plants are critical in balancing power supply and demand.However,the scheduling of these plants faces significant challenges,including high network transmission costs and inefficient inter-device ...
Early warning of financial crisis will greatly promote the stable development of small and medium-sized listed enterprises(listed SMEs).In this article,13 warning indicators were selected for financial crisis predicti...
Load forecasting is of great significance to the development of new power systems.With the advancement of smart grids,the integration and distribution of distributed renewable energy sources and power electronics devi...
Project supported by the National Natural Science Foundation of China(Grant Nos.72101046 and 61672128)。
Recent studies employing deep learning to solve the traveling salesman problem(TSP)have mainly focused on learning construction heuristics.Such methods can improve TSP solutions,but still depend on additional programs...
supported by the National Natural Science Foundation of China(Nos.62265010,62061024);Gansu Province Science and Technology Plan(No.23YFGA0062);Gansu Province Innovation Fund(No.2022A-215)。
The paper proposes a wireless sensor network(WSN)localization algorithm based on adaptive whale neural network and extended Kalman filtering to address the problem of excessive reliance on environmental parameters A a...
supported by the National Natural Science Foun-dation of China (No.52174188);the Graduate Education Innovation Project of Shanxi Datong University of China (No.23CX49).
In order to enhance the accuracy and efficiency of coal and gas outburst prediction,a novel approach combining Kernel Principal Component Analysis(KPCA)with an Improved Whale Optimization Algorithm(IWOA)optimized extr...
Energy efficiency is the prime concern in Wireless Sensor Networks(WSNs) as maximized energy consumption without essentially limits the energy stability and network lifetime. Clustering is the significant approach ess...
supported in part by the National Natural Science Foundation of China under Grant 61873130;in part by the Chunhui Program Collaborative Scientific Research Project under Grant 202202004;in part by the Foundation of the Key Laboratory of Industrial Internet of Things and Networked Control of the Ministry of Education of China under Grant 2021FF01;in part by the Natural Science Foundation of Nanjing University of Posts and Telecommunications under Grant NY221082,Grant NY222144,and Grant NY223075;in part by the Huali Program for Excellent Talents in Nanjing University of Posts and Telecommunications;in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant;in part by the Fundamental Research Funds for the Central Universities under WUT:104972024KFYjc0072.
Power systems are pivotal in providing sustainable energy across various sectors.However,optimizing their performance to meet modern demands remains a significant challenge.This paper introduces an innovative strategy...
the Science and Technology Project of State Grid Corporation of China under Grant 5400-202117142A-0-0-00;the National Natural Science Foundation of China under Grant 62372242.
As the penetration ratio of wind power in active distribution networks continues to increase,the system exhibits some characteristics such as randomness and volatility.Fast and accurate short-term wind power predictio...