| Description |
1 online resource (x, 235 pages) : illustrations (chiefly color) |
| Series |
Applied innovation and technology management |
|
Applied innovation and technology management.
|
| Contents |
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 |
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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 |
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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 |
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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 |
| Summary |
The world is moving away from demand-driven electricity markets supplied by centralized generation and distribution of fossil-fuel-produced electricity. Increasing reliance on weather-dependent renewable sources will require a shift toward a supply-driven paradigm, while beneficial electrification, including widespread adoption of electric vehicles, heat pumps, and batteries will offer considerable but widely distributed demand flexibility that can be used to compensate for supply variability. The open-source Power Trading Agent Competition (Power TAC) platform simulates a decentralized future, modeling the high complexity of future retail electricity markets. This book describes a variety of approaches to profitable trading in realistic wholesale and retail electricity markets. It presents actionable insights from extensive exploration of policies and business models for retail electricity markets gained from a decade of Power TAC tournaments, and from research inspired by the Power TAC experience. Featuring contributions from tournament designers, competitors, and scientists combining best practices from computer science and economics and management science, this book is of benefit to academics, researchers, practitioners and policy makers in sustainable energy and wholesale and retail electricity markets |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed November 27, 2023) |
| Subject |
Electric utilities -- Prices
|
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Electric utilities -- Environmental aspects
|
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Renewable energy sources -- Prices
|
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Renewable energy sources -- Environmental aspects
|
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Electric utilities -- Environmental aspects
|
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Electric utilities -- Prices
|
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Renewable energy sources -- Environmental aspects
|
| Form |
Electronic book
|
| Author |
Collins, John E. (John Edgar), editor
|
|
Ketter, Wolfgang, editor
|
|
Symeonidis, Andreas L., editor
|
| ISBN |
9783031397073 |
|
303139707X |
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