001484111 000__ 07062cam\\2200697\i\4500 001484111 001__ 1484111 001484111 003__ OCoLC 001484111 005__ 20240117003313.0 001484111 006__ m\\\\\o\\d\\\\\\\\ 001484111 007__ cr\un\nnnunnun 001484111 008__ 231118s2023\\\\sz\a\\\\ob\\\\000\0\eng\d 001484111 019__ $$a1409706813 001484111 020__ $$a9783031397073$$q(electronic bk.) 001484111 020__ $$a303139707X$$q(electronic bk.) 001484111 020__ $$z9783031397066 001484111 020__ $$z3031397061 001484111 0247_ $$a10.1007/978-3-031-39707-3$$2doi 001484111 035__ $$aSP(OCoLC)1409545665 001484111 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ$$dOCLCO 001484111 049__ $$aISEA 001484111 050_4 $$aHD9685.A2 001484111 08204 $$a333.793/23$$223/eng/20231127 001484111 24500 $$aEnergy sustainability through retail electricity markets :$$bthe Power Trading Agent Competition (Power TAC) experience /$$cJohn Collins, Wolfgang Ketter, Andreas L. Symeonidis, editors. 001484111 264_1 $$aCham :$$bSpringer,$$c[2023] 001484111 264_4 $$c©2023 001484111 300__ $$a1 online resource (x, 235 pages) :$$billustrations (chiefly color). 001484111 336__ $$atext$$btxt$$2rdacontent 001484111 337__ $$acomputer$$bc$$2rdamedia 001484111 338__ $$aonline resource$$bcr$$2rdacarrier 001484111 4901_ $$aApplied innovation and technology management 001484111 504__ $$aIncludes bibliographical references. 001484111 5050_ $$aIntro -- 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 001484111 5058_ $$a3 VidyutVanika: AI-Based Autonomous Broker for Smart Grids: From Theory to Practice -- 3.1 Introduction -- 3.2 Preliminaries -- 3.2.1 RL: A Brief Overview -- 3.2.2 Game Theory: A Brief Overview -- 3.2.3 VidyutVanika: Overview -- 3.3 Wholesale Strategies -- 3.3.1 Bayesian Nash Equilibrium Analysis of Wholesale Strategies -- 3.3.2 VV18-WS -- 3.3.3 DDPGBBS for Bidding in Smart Grids -- 3.3.4 VV21-WS -- 3.4 Tariff Strategies -- 3.4.1 VV18-TS -- 3.4.2 VV21-TS -- 3.4.3 Game Theoretical (GT) Analysis of VV21 Tariff Strategy -- 3.5 Results and Discussion 001484111 5058_ $$a3.5.1 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 001484111 5058_ $$a5 Nudging the Direction of Energy Tariff Selection: Lessons Learned from an Attribute Framing Experiment with Temporal Construal Levels -- 5.1 Introduction -- 5.2 Decision Frames and Environmental Sustainability -- 5.2.1 The Framing of Preferential Choice -- 5.2.2 Framing Effects, Construal Levels, and Individual Differences -- 5.2.3 The Present Study -- 5.3 Data and Methods -- 5.4 Results -- 5.4.1 Basic Differences Between Tariff Evaluations -- 5.5 Discussion and Conclusion -- References -- 6 AgentUDE: A Smart Broker Agent for Autonomous PowerTrading -- 6.1 Introduction -- 6.2 Related Work 001484111 5058_ $$a6.2.1 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 001484111 506__ $$aAccess limited to authorized users. 001484111 520__ $$aThe 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. 001484111 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 27, 2023). 001484111 650_6 $$aServices publics d'électricité$$xPrix. 001484111 650_6 $$aServices publics d'électricité$$xAspect de l'environnement. 001484111 650_6 $$aÉnergies renouvelables$$xPrix. 001484111 650_6 $$aÉnergies renouvelables$$xAspect de l'environnement. 001484111 650_0 $$aElectric utilities$$xPrices. 001484111 650_0 $$aElectric utilities$$xEnvironmental aspects. 001484111 650_0 $$aRenewable energy sources$$xPrices.$$vCongresses$$0(DLC)sh2008110698 001484111 650_0 $$aRenewable energy sources$$xEnvironmental aspects.$$vCongresses$$0(DLC)sh2008110698 001484111 655_0 $$aElectronic books. 001484111 7001_ $$aCollins, John E.$$q(John Edgar),$$eeditor$$1https://isni.org/isni/0000000078485141 001484111 7001_ $$aKetter, Wolfgang,$$eeditor$$1https://isni.org/isni/0000000378937875 001484111 7001_ $$aSymeonidis, Andreas L.,$$eeditor$$1https://isni.org/isni/0000000037766262 001484111 77608 $$iPrint version:$$tEnergy sustainability through retail electricity markets.$$dCham : Springer, [2023]$$z3031397061$$z9783031397066$$w(OCoLC)1388318010 001484111 830_0 $$aApplied innovation and technology management. 001484111 852__ $$bebk 001484111 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-39707-3$$zOnline Access$$91397441.1 001484111 909CO $$ooai:library.usi.edu:1484111$$pGLOBAL_SET 001484111 980__ $$aBIB 001484111 980__ $$aEBOOK 001484111 982__ $$aEbook 001484111 983__ $$aOnline 001484111 994__ $$a92$$bISE