Smart Cities
In: Lecture Notes in Intelligent Transportation and Infrastructure Ser.
Intro -- Preface -- Contents -- About the Editors -- Fundamental of Smart Cities and Data Analytics -- Fundamentals of Smart Cities -- 1 Introduction -- 2 Smart Cities: Components, Characteristics and Role of Big Data Applications -- 2.1 Applications of Big Data in Smart Cities -- 3 Technology in Smart Cities and Challenges -- 3.1 Communication Technologies -- 3.2 Mobility -- 3.3 Sensors -- 3.4 Data Analytics and Machine Learning -- 3.5 Smart City Design: Challenges and Opportunities -- 4 Conclusion -- References -- A Context Aware Big Data Analytics Service-Centric Process Modeling Approach -- 1 Introduction -- 1.1 Contribution -- 1.2 Organizations -- 2 Scenario and Motivation -- 3 Related Work -- 3.1 Activity Oriented Approach -- 3.2 Artifact Based Approach -- 3.3 Workflow Pattern and Case Handling -- 3.4 Context-Aware Approaches -- 4 Context Related Knowledge Elicitation -- 4.1 View of Multi-level Data Analytic Framework -- 4.2 Capturing Elastic Specifications -- 4.3 Capturing Service Specifications -- 5 Context Related Knowledge Representation -- 6 Modeling Framework -- 7 Illustration Examples and Architecture -- 7.1 Service Centric Without Considering the Technical Details -- 7.2 User's Service-Related Demand -- 7.3 Big Data Volume and Velocity -- 8 Conclusion and Future Work -- References -- Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood -- 1 Introduction -- 2 Demand Side Management -- 2.1 Impact of Demand Response Programs -- 2.2 Overview of Demand Response Programs -- 3 Smart Neighborhood Model -- 3.1 Smart Neighborhood Architecture -- 3.2 Load Modeling -- 4 Robust Collaborative Smart Neighborhood -- 4.1 Robust Optimization -- 4.2 Case 1: Optimization at the HEMS' Level -- 4.3 Case 2: Overall Welfare as Expected by Utilities -- 4.4 Case 3: Robust Optimization at the NEMS' Level -- 5 Numerical Analysis.