Special Issue
Submission Closed
Soft Computing Techniques for Energy Engineering
View Published Articles →01About This Special Issue
Soft Computing is a term used in computer science to refer to problems in computer science whose solutions are unpredictable, uncertain. In the past few years, soft computing techniques have obtained great development, which have been applied in many fields, such as engineering science, social science, and so on. In practice, many energy engineering issues face with the uncertain problems. The soft computing techniques can be employed to solve the unpredictable and uncertain issues of energy engineering to some extent. Therefore, it is very meaning, practical and promising topic that employs the soft computing techniques on energy engineering problems.This special issue intends to provide the details of recent advances of soft computing techniques and promote the applications of soft computing techniques in the energy engineering context.
Potential topics include, but are not limited to:
(1) Recent computational intelligence methods for energy engineering, such as neural networks and SVM (support vector machine) for energy forecasting;
(2) Bio-inspired optimization algorithms for energy engineering, such as ant colony optimization algorithm (ACO), Fruit Fly Optimization Algorithm (FOA) for energy optimization;
(3) Multiple criteria decision-making (MCDM) for energy engineering, such as TOPSIS, AHP/ANP, fuzzy comprehensive evaluation method for energy issues.
02Meet the Guest Editors
Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.
Lead Guest Editor
Sen Guo
School of Economics and Management, North China Electric Power University, Beijing, China
03Published Articles
The following articles have been published in this special issue.
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Wind Speed Forecasting in China: A Review
Issue: Volume 3, Issue 4-1, July 2015Pages: 14-21Received: 25 January 2015Accepted: 25 January 2015Published: 10 February 2015Abstract: China’s wind power has developed rapidly in the past few years, the large-scale penetration of which will bring big influence on power systems. The wind speed forecasting research is quite important because it can alleviate the negative impacts. This paper reviews the current wind speed forecasting techniques in China. The literature (written in Ch... Show More -
Key Risk Index Identification of UHV Project Construction Based on Improved Rough Set Model
Issue: Volume 3, Issue 4-1, July 2015Pages: 6-13Received: 14 December 2014Accepted: 15 December 2014Published: 27 December 2014Abstract: Compared with the conventional power grid project, the UHV project construction faces more challenges and risks. Identifying the key risk indicators of UHV project construction can improve the level of project risk management and reduce risk-related loss. Taken the data missing of risk indicators into consideration, an improved rough set model for ... Show More -
Issue: Volume 3, Issue 4-1, July 2015Pages: 1-5Received: 18 November 2014Accepted: 27 November 2014Published: 27 December 2014Abstract: Different wind power projects have different external economics level, the practical evaluation on which can provide reference for wind power projects selection and qualify the role of completed projects. In this paper, the external economies of wind power engineering projects were evaluated by employing VIKOR method. The basic theory of VIKOR meth... Show More
