Science Journal of Energy Engineering

Special Issue

Soft Computing Techniques for Energy Engineering

  • Submission Deadline: May 30, 2015
  • Status: Submission Closed
  • Lead Guest Editor: Sen Guo
About 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.
Lead Guest Editor
  • Sen Guo

    School of Economics and Management, North China Electric Power University, Beijing, China

Published Articles
  • Wind Speed Forecasting in China: A Review

    Huiru Zhao , Sen Guo

    Issue: Volume 3, Issue 4-1, July 2015
    Pages: 14-21
    Received: Jan. 25, 2015
    Accepted: Jan. 25, 2015
    Published: Feb. 10, 2015
    DOI: 10.11648/j.sjee.s.2015030401.13
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    Abstract: 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

    Sen Guo , Huiru Zhao

    Issue: Volume 3, Issue 4-1, July 2015
    Pages: 6-13
    Received: Dec. 14, 2014
    Accepted: Dec. 15, 2014
    Published: Dec. 27, 2014
    DOI: 10.11648/j.sjee.s.2015030401.12
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    Abstract: 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
  • Evaluation on External Economies of Renewable Energy Resource Utilization: Taken Wind Power Engineering Project as Example

    Yanlin Qu , Yilan Su

    Issue: Volume 3, Issue 4-1, July 2015
    Pages: 1-5
    Received: Nov. 18, 2014
    Accepted: Nov. 27, 2014
    Published: Dec. 27, 2014
    DOI: 10.11648/j.sjee.s.2015030401.11
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    Abstract: 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