Accurate forecasting of inter-urban traffic flow has been one of the most important issues
globally in the research on road traffic congestion. However, the information of inter-urban …

The current carbon-based energy system is undergoing a profound change driven by the
increased concerns over the longevity and security of energy supply, as well as energy …

大连理工大学土木水利学院辽宁大连摘要本文探索了支持向量机在中长期径流预报中的应用在
支持向量机建模过程中引入了径向基核函数简化了非线性问题的求解过程并应用算法辨识支持 …

Accurate forecasting of electric load has always been the most important issues in the
electricity industry, particularly for developing countries. Due to the various influences …

Wetlands for Water Pollution Control, Second Edition, covers the fundamental science and
engineering principles relevant to the drainage and treatment of both storm and wastewater …

Precise Short term load forecasting (STLF) plays a significant role in the management of
power system of countries and regions on the grounds of insufficient electric energy for …

We present a method to create synthetic, weather-dependent, annual electricity load profiles
for European countries in hourly resolution using artificial neural networks as a necessary …

Given the current increasingly serious energy crisis, the development and utilization of new
energy resources are attracting increasing attention, and wind power is widely used among …

Application of support vector regression (SVR) with chaotic sequence and evolutionary
algorithms not only could improve forecasting accuracy performance, but also could …

SVM with an RBF kernel is usually one of the best classification algorithms for most data
sets, but it is important to tune the two hyperparameters C and γ to the data itself. In general …