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Community-based optimal scheduling of smart home appliances incorporating occupancy error


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Community-based optimal scheduling of smart home appliances incorporating occupancy error
Table of Contents
Abstract
Acknowledgements
Table of Contents
List of Tables
List of Figures
List of Abbreviations
1. Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Research Objectives
1.3 Thesis Organization
2. Review of Literature
2.1 The Smart Grid Overview
2.2 Smart Grid Topology
2.3 Advanced Metering Infrastructure (AMI)
2.4 The Smart Home
2.5 The Smart Appliance
2.6 Demand Response
2.7 Benefits of Demand Response
2.8 Demand Shifting
2.9 Dynamic Pricing
2.10 Real-Time Pricing
2.11 Household Occupancy Error
3. Problem Formulation and Algorithm
3.1 Overview
3.2 Occupant Error Detection
3.3 Power demand Function
3.4 Energy Cost Function
3.5 The Objective Function
3.6 Constraint Functions
3.6.1 Energy Constraint
3.6.2 Imported Power Limit
3.6.3 Starting and Finishing Time
3.6.4 Consumer Priority Constraint
3.6.4 Preemptive and Non- Preemptive Constraint
3.7 Tariff Setting
3.8 Locally Generated Energy
3.9 Scheduling Algorithm
4. Experimental Results
4.1 Case Overview and Assumptions
4.2 Locally Generated Power – Wind and Solar
4.3 Power Consumption Limits
4.4 Real-Time Pricing
4.5 Power Consumption without Load Scheduling
4.6 Power Consumption with Load Scheduling
4.7 Energy Cost and Savings
4.8 Power Consumption with Load Scheduling and Occupancy Error Detection.
5. Conclusions and Recommendations
References
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