@article {399, title = {Optimized Renewable and Sustainable Electricity Generation Systems for Ulleungdo Island in South Korea}, journal = {Sustainability}, volume = {6}, year = {2014}, pages = {7883}, abstract = {

The South Korean government has long been attempting to reduce the nation{\textquoteright}s heavy reliance on fossil fuels and increase environmental safety by developing and installing renewable power generation infrastructures and implementing policies for promoting the green growth of Korea{\textquoteright}s energy industry. This study focuses on the use of independent renewable power generation systems in the more than 3000 officially affirmed islands off Korea{\textquoteright}s coast and proposes a simulated solution to the electricity load demand on Ulleungdo Island that incorporates several energy sources (including solar, batteries, and wind) as well as one hydro-electric and two diesel generators. Recommendations based on the simulation results and the limitations of the study are discussed.

}, issn = {2071-1050}, doi = {10.3390/su6117883}, url = {http://www.mdpi.com/2071-1050/6/11/7883}, author = {Yoo, Kyeongsik and Park, Eunil and Kim, Heetae and Ohm, Jay Y. and Yang, Taeyong and Kim, Ki Joon and Chang, Hyun Joon and Angel P. del Pobil} } @inbook {21, title = {On-Line Learning of the Visuomotor Transformations on a Humanoid Robot}, booktitle = {Intelligent Autonomous Systems 12}, series = {Advances in Intelligent Systems and Computing}, volume = {193}, year = {2013}, pages = {853-861}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, isbn = {978-3-642-33925-7}, doi = {10.1007/978-3-642-33926-4_82}, url = {http://dx.doi.org/10.1007/978-3-642-33926-4_82}, author = {Marco Antonelli and Eris Chinellato and Angel P. del Pobil}, editor = {Lee, Sukhan and Cho, Hyungsuck and Yoon, Kwang-Joon and Lee, Jangmyung} }