%0 Book Section %1 noKey %A Suharto, Yulianto %A Daim, TugrulU. %B Technology Development %D 2014 %E Daim, Tugrul U. %E Neshati, Ramin %E Watt, Russell %E Eastham, James %I Springer International Publishing %K Assessment Bayesian.CausalMap Scenario-Based %P 91-113 %R 10.1007/978-3-319-05651-7_5 %T Technology Assessment: Energy Storage Technologies for Wind Power Generation %U http://dx.doi.org/10.1007/978-3-319-05651-7_5 %X The problems in generation imbalance for wind power require multi-criteria analysis for the decision makers. In addition to the required multi-criteria analysis, there is also a problem of uncertainty inherent in future changes as a result of interdependence among these criteria. To counter this two problems, this paper describes a systematic approach of Bayesian causal maps and systematic probability generation method. Bayesian causal maps, which is built from causal maps, is used to develop a proposed framework on scenario-based assessment of energy storage technologies for wind power generation. Causal maps provides a rich representation of ideas, through the modeling of complex structures, representing the chain of arguments, as networks. %@ 978-3-319-05650-0

@incollection{noKey, abstract = {The problems in generation imbalance for wind power require multi-criteria analysis for the decision makers. In addition to the required multi-criteria analysis, there is also a problem of uncertainty inherent in future changes as a result of interdependence among these criteria. To counter this two problems, this paper describes a systematic approach of Bayesian causal maps and systematic probability generation method. Bayesian causal maps, which is built from causal maps, is used to develop a proposed framework on scenario-based assessment of energy storage technologies for wind power generation. Causal maps provides a rich representation of ideas, through the modeling of complex structures, representing the chain of arguments, as networks.}, added-at = {2015-01-06T11:59:18.000+0100}, author = {Suharto, Yulianto and Daim, TugrulU.}, biburl = {https://www.bibsonomy.org/bibtex/2f179627789d1dc4b8b3dbec7baaaf47e/ab.mosayyebi}, booktitle = {Technology Development}, doi = {10.1007/978-3-319-05651-7_5}, editor = {Daim, Tugrul U. and Neshati, Ramin and Watt, Russell and Eastham, James}, interhash = {2b74e9f1d154546f8aefefdb6887f68e}, intrahash = {f179627789d1dc4b8b3dbec7baaaf47e}, isbn = {978-3-319-05650-0}, keywords = {Assessment Bayesian.CausalMap Scenario-Based}, language = {English}, pages = {91-113}, publisher = {Springer International Publishing}, series = {Innovation, Technology, and Knowledge Management}, timestamp = {2015-01-06T11:59:18.000+0100}, title = {Technology Assessment: Energy Storage Technologies for Wind Power Generation}, url = {http://dx.doi.org/10.1007/978-3-319-05651-7_5}, year = 2014 }