Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
A causal mapping approach to constructing Bayesian networks
Decision Support Systems
A scenario-directed computational framework to aid decision-making and systems development
A scenario-directed computational framework to aid decision-making and systems development
Improving the quality of conceptual modeling using cognitive mapping techniques
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
A Bayesian belief network for IT implementation decision support
Decision Support Systems
Improving classification performance using unlabeled data: Naive Bayesian case
Knowledge-Based Systems
A cognitive approach for agent-based personalized recommendation
Knowledge-Based Systems
A multi-agent approach for planning activities in decentralized electricity markets
Knowledge-Based Systems
A selective Bayes Classifier for classifying incomplete data based on gain ratio
Knowledge-Based Systems
A compound framework for sports results prediction: A football case study
Knowledge-Based Systems
Constructing Bayesian networks for criminal profiling from limited data
Knowledge-Based Systems
Augmented fuzzy cognitive maps for modelling LMS critical success factors
Knowledge-Based Systems
VR '09 Proceedings of the 2009 IEEE Virtual Reality Conference
Bayesian networks based rare event prediction with sensor data
Knowledge-Based Systems
Structure identification of Bayesian classifiers based on GMDH
Knowledge-Based Systems
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
A case-based knowledge system for safety evaluation decision making of thermal power plants
Knowledge-Based Systems
Swarm intelligence approaches to estimate electricity energy demand in Turkey
Knowledge-Based Systems
Policy making for broadband adoption and usage in Chile through machine learning
Expert Systems with Applications: An International Journal
More applicable environmental scanning systems leveraging "modern" information systems
Information Systems and e-Business Management
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This paper provides a general overview of creating scenarios for energy policies using Bayesian Network (BN) models. BN is a useful tool to analyze the complex structures, which allows observation of the current structure and basic consequences of any strategic change. This research will propose a decision model that will support the researchers in forecasting and scenario analysis fields. The proposed model will be implemented in a case study for Turkey. The choice of the case is based on complexities of a renewable energy resource rich country. Turkey is a heavy energy importer discussing new investments. Domestic resources could be evaluated under different scenarios aiming the sustainability. Achievements of this study will open a new vision for the decision makers in energy sector.