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.