Intelligent Techniques are increasingly being used to improve efficiency and reliability of power generation, transmission, and distribution systems. Incorporating intelligent techniques into power networks play an important role in improving the performance and reducing the operational cost of these networks. A number of intelligent techniques which include artificial neural networks, fuzzy logic, evolutionary algorithms, dimensionality reduction, feature selection, clustering, reinforcement learning and deep learning techniques have been used in power networks. Big data analytics techniques for handling power networks involving large volumes of data have been studied by researchers. Cloud computing for virtualization of intelligent power networks have also been experimented by researchers. One of the challenges is to develop intelligent systems which can evolve incrementally as new learning data becomes available. Intelligent systems canlearn of their own without external intervention and without scrapping the exiting learned system. This special session aims to bring together researchers and developers from academia, industry and governmental institution to share and exchange novel ideas and experiences that address challenges in developing intelligent systems for power networks.