Intro
Foreword
References
Contents
1 Introduction
1.1 Background
1.2 Electric Power Markets
1.3 Power TAC Goals
1.4 The Power TAC Platform
1.5 What Is in This Book
References
2 Modeling a Customer Population in Power TAC: Electric Vehicle Chargers
2.1 Introduction
2.2 Related Work
2.3 Modeling a Population of EV Chargers
2.3.1 Representation
2.3.2 Learning the Charging Behavior of EV Users
2.3.3 Dataset
2.3.4 GMM Results
2.3.5 Model Operation
2.4 Generating Demand
2.5 Results
2.6 Conclusion
References

3 VidyutVanika: AI-Based Autonomous Broker for Smart Grids: From Theory to Practice
3.1 Introduction
3.2 Preliminaries
3.2.1 RL: A Brief Overview
3.2.2 Game Theory: A Brief Overview
3.2.3 VidyutVanika: Overview
3.3 Wholesale Strategies
3.3.1 Bayesian Nash Equilibrium Analysis of Wholesale Strategies
3.3.2 VV18-WS
3.3.3 DDPGBBS for Bidding in Smart Grids
3.3.4 VV21-WS
3.4 Tariff Strategies
3.4.1 VV18-TS
3.4.2 VV21-TS
3.4.3 Game Theoretical (GT) Analysis of VV21 Tariff Strategy
3.5 Results and Discussion

3.5.1 Tournament Results (PowerTAC 2018 and 2021)
3.5.2 Discussion
3.6 Future Directions
References
4 Designing Retail Electricity Tariffs Using ReinforcementLearning
4.1 Introduction
4.2 Smart Electricity Market
4.3 Proposed Broker Strategy
4.3.1 Tariff Design
4.3.2 Transformation of MUBP to ToU Pricing Schemes
4.3.3 Manage Published Consumption Tariffs
Customer Demand Prediction
4.4 Numerical Results and Discussion
4.5 Related Work
4.6 Conclusions and Future Work
References

5 Nudging the Direction of Energy Tariff Selection: Lessons Learned from an Attribute Framing Experiment with Temporal Construal Levels
5.1 Introduction
5.2 Decision Frames and Environmental Sustainability
5.2.1 The Framing of Preferential Choice
5.2.2 Framing Effects, Construal Levels, and Individual Differences
5.2.3 The Present Study
5.3 Data and Methods
5.4 Results
5.4.1 Basic Differences Between Tariff Evaluations
5.5 Discussion and Conclusion
References
6 AgentUDE: A Smart Broker Agent for Autonomous PowerTrading
6.1 Introduction
6.2 Related Work

6.2.1 Electricity Demand and Price Forecasting
6.2.2 Strategic Bidding in Wholesale Markets
6.2.3 Tariff Forming in Retail Markets
6.3 Experimental Setup and Resources
6.3.1 Power TAC Tournament Manager
6.3.2 Power TAC Log Analysis Tool
6.4 AgentUDE14: A Champion Agent
6.4.1 Wholesale Market
6.4.2 Retail Market
6.5 AgentUDE15: Utilizing Storage Capacities
6.5.1 Experimental Setup
6.5.2 Results
6.6 AgentUDE17: A State-of-the-Art Broker
6.6.1 AgentUDE17: Smart Bidding in Wholesale Markets
6.6.2 AgentUDE17: Evolutionary Trading in Retail Markets