With the advancement of Internet technology and widespread use mobile smartphones, urban e-commerce is becoming increasingly saturated. Rural ushered in a new era development. How to improve rural logistics carrying capacity keep up with development better serve has become hot topic. The purpose this study predict demand context e-commerce. We develop an indicator system for forecasting Guangdo...

Wind power forecasting is pivotal in optimizing renewable energy generation and grid stability. This paper presents a groundbreaking optimization algorithm to enhance wind through an improved al-Biruni Earth radius (BER) metaheuristic algorithm. The BER algorithm, based on stochastic fractal search (SFS) principles, has been refined optimized achieve superior accuracy prediction. proposed denot...

Buildings consume about 41.1% of primary energy and 74% of the electricity in the U.S. Better or even optimal building energy control and operation strategies provide great opportunities to reduce building energy consumption. Moreover, it is estimated by the National Energy Technology Laboratory that more than one-fourth of the 713 GW of U.S. electricity demand in 2010 could be dispatchable if ...

This paper develops a discrete operation optimization model for combined heat and powers (CHPs) in deregulated energy markets to maximize owners’ profits, where energy price forecasting is included. First, a single input and multi-output (SIMO) model for typical CHPs is established, considering the varying ratio between heat and electricity outputs at different loading levels. Then, the energy ...

Statistical forecasts of Atlantic basin seasonal hurricane activity have been issued since 1984 by the Tropical Meteorology Project at Colorado State University (CSU) headed by William Gray. Since these initial forecasts were developed, considerable improvements in data and statistical techniques have led to improved amounts of skill in both hindcasting and forecasting of seasonal Atlantic basi...

In this paper, adjust the system parameters back-propagation algorithm based on fuzzy similarity interval type proposed by the fuzzy rule base to streamline redundant fuzzy sets, we can also merge with the means to reduce the number of redundant fuzzy rules, then singular value decomposition method is preferred fuzzy rules. The algorithm can effectively eliminate the adverse effects caused by r...

Network security is related to the proper protection of the network system hardware, software, and the data in the system. They are not subjected to accidental or malicious destruction, alteration and disclosure to make the system run continuously and reliably. Then, the network service is not interrupted. As we all know, BP neural network is used more fully in the network security. It has a st...