Mathematical Modelling of Contemporary Electricity Markets

Paperback Engels 2021 9780128218389
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

Mathematical Modelling of Contemporary Electricity Markets reviews major methodologies and tools to accurately analyze and forecast contemporary electricity markets in a ways that is ideal for practitioner and academic audiences. Approaches include optimization, neural networks, genetic algorithms, co-optimization, econometrics, E3 models and energy system models. The work examines how new challenges affect power market modeling, including discussions of stochastic renewables, price volatility, dynamic participation of demand, integration of storage and electric vehicles, interdependence with other commodity markets and the evolution of policy developments (market coupling processes, security of supply). Coverage addresses all major forms of electricity markets: day-ahead, forward, intraday, balancing, and capacity.

Specificaties

ISBN13:9780128218389
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

<p>Part 1: Modelling market fundamentals of electricity markets<br>1. Forecasting energy demand with econometrics<br>2. An econometric approach for Germany’s short-term energy demand forecasting<br>3. A novel adaptive day-ahead load forecast method, incorporating non-metered distributed generation: a comparison of selected European countries<br>4. Use probabilistic forecasting to model uncertainties in electricity markets - a wind power example<br>5. Forecasting week-ahead hourly electricity prices in Belgium with statistical and machine learning methods<br>6. Modelling interlinked commodities’ prices: The case of natural gas</p> <p>Part 2: Modelling electricity markets<br>7. An optimization model for the economic dispatch problem in power exchanges<br>8. Power system flexibility: A methodological analytical framework based on unit commitment and economic dispatch modelling<br>9. Modeling cross-border interactions of EU balancing markets: a focus on scarcity pricing<br>10. Retailer profit maximization with the assistance of price and load forecasting processes<br>11. Electricity portfolio optimization: cost minimization using MILP</p> <p>Part 3: Modelling technology challenges in electricity markets<br>12. Business opportunities in the day ahead markets by storage integration: an application to the German case. <br>13. The integration of dynamic demand in electricity markets: Blockchain 3.0 as an enabler of microgrid energy exchange, demand response and storage<br>14. Optimizing CHP operational planning for participating in day-ahead power markets: The case of a coal-fired CHP system with thermal energy storage<br>15. Statistical analysis of power flows based on system marginal price differentials between two power systems<br>16. EW Flex: A Decentralized Flexibility Marketplace Fostering TSO-DSO Cooperation</p> <p>Part 4: Modelling policy challenges in electricity markets<br>17. Forecasting electricity supply shocks: A Bayesian panel VAR analysis<br>18: Assessing the Western Balkans power systems: A case study of Serbia<br>19. Evaluation of capacity expansion scenarios for the Hellenic electric sector<br>20. Formulating and estimating an energy security index: A geopolitical review of quantitative approaches<br>21. An ex-ante market monitoring and regulation mechanism for market concentration in electricity and natural gas markets</p>

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        Mathematical Modelling of Contemporary Electricity Markets