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In most IEA Member countries, natural gas demand varies strongly during the year, according to temperature. Flexibility is needed to cover seasonal swings and variations in gas demand, especially for household customers. This book analyses how new flexibility tools and mechanisms are developing with market liberalisation and with the evolution of supply and demand trends. It highlights differences in flexibility requirements and provisions among IEA Member countries.

Gas industry -- Europe. --- Gas industry == Europe. --- Natural gas -- Europe. --- Supply and demand. --- Natural gas --- Gas industry --- Supply and demand --- Business & Economics --- Industries --- Demand and supply --- Industrial production --- Law of supply and demand --- Gas, Natural --- Sour gas --- Economics --- Competition --- Exchange --- Overproduction --- Prices --- Value --- Gases, Asphyxiating and poisonous --- Hydrocarbons --- Natural Gas Market --- Gaz naturel --- Gaz --- Offre et demande --- Industrie

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Worldwide, electricity systems are evolving to adapt to a low-carbon economy in which increasingly more renewable energy resources are being integrated. These changes, in turn, make the development of new methods, tools, and approaches to deal with the operation and planning of electricity systems necessary. On the other hand, new regulations must be developed in order to deal with a wide integration of renewable and distributed energy resources, both from a generation and a network (transmission and distribution) perspective. Furthermore, the natural gas sector is going through significant transformation related mainly to both technological advances and strategic policy decisions. While there is great uncertainty in the future of natural gas within the global energy matrix, it is clear that it will play a major role during the next years as a bridge fuel towards a decarbonized economy. In this context, natural gas systems are undergoing deep transformations, necessitating the development of new tools to operate and plan gas systems as well as new approaches to regulate them. This book, therefore, seeks to contribute to the energy transformation agenda through original contributions focused on both power and natural gas systems, addressing innovative operation and planning methods as well as regulation of both energy systems.

History of engineering & technology --- industrial park integrated energy system --- expansion planning --- natural gas price uncertainty --- regret aversion --- min–max regret value --- distributed solar PV --- financial analysis --- net-energy metering --- investor-owned utility --- earnings --- return on equity --- retail rates --- ratepayer bills --- natural-gas market --- electricity market --- equilibrium analysis --- gas markets --- game theory-Cournot model --- records theory --- entropy --- information theory --- electricity markets --- feasible operation --- medium-term representation --- optimization models --- power systems --- thermal generation --- unit commitment --- portfolio --- portfolio management --- risk --- risk assessment --- energy trading --- power purchase agreements --- PPA --- copula --- wholesale electricity markets --- market design --- bidding formats --- pricing rules --- renewable energy sources --- day-ahead electricity markets --- electricity price forecasting --- fundamental-econometric models --- market structural breaks

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Recent developments in the natural gas industry warrant new analysis of related issues. Environmental, social, and governance (ESG) investments have accelerated the shift away from coal as the dominant source of electricity. Its low environmental impact, reduced volume, and broad availability make liquefied natural gas (LNG) a popular alternative, during this time of transition between traditional fuels and newer options. In the United States, the shale gas revolution has made natural gas a game changer. In this book, we focus on empirical analyses of the natural gas market and its growing relevance worldwide.

spillover effect --- market integration --- natural gas market --- time frequency dynamics --- BRICS --- exchange rates --- connectedness --- time domain --- frequency domain --- natural gas --- crude oil --- electricity utilities sector index --- time–frequency dynamics --- ESG --- renewable energy --- copula --- value-at-risk --- electricity --- spot --- futures --- transmission --- pipelines --- external cost --- health --- property damage --- bodily injury --- uncertainty --- insurance --- coal --- spillover effects --- dynamic approaches --- forecasting --- logistic regression --- random forests --- support vector machines --- US natural gas crises --- XGboost --- neural networks --- oil futures prices crashes --- foresting --- logistical regression --- extreme gradient boosting --- moving window --- SVAR --- oil price --- gas price --- US macroeconomic aggregates --- GDP --- CPI

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Recent developments in the natural gas industry warrant new analysis of related issues. Environmental, social, and governance (ESG) investments have accelerated the shift away from coal as the dominant source of electricity. Its low environmental impact, reduced volume, and broad availability make liquefied natural gas (LNG) a popular alternative, during this time of transition between traditional fuels and newer options. In the United States, the shale gas revolution has made natural gas a game changer. In this book, we focus on empirical analyses of the natural gas market and its growing relevance worldwide.

Economics, finance, business & management --- spillover effect --- market integration --- natural gas market --- time frequency dynamics --- BRICS --- exchange rates --- connectedness --- time domain --- frequency domain --- natural gas --- crude oil --- electricity utilities sector index --- time–frequency dynamics --- ESG --- renewable energy --- copula --- value-at-risk --- electricity --- spot --- futures --- transmission --- pipelines --- external cost --- health --- property damage --- bodily injury --- uncertainty --- insurance --- coal --- spillover effects --- dynamic approaches --- forecasting --- logistic regression --- random forests --- support vector machines --- US natural gas crises --- XGboost --- neural networks --- oil futures prices crashes --- foresting --- logistical regression --- extreme gradient boosting --- moving window --- SVAR --- oil price --- gas price --- US macroeconomic aggregates --- GDP --- CPI --- spillover effect --- market integration --- natural gas market --- time frequency dynamics --- BRICS --- exchange rates --- connectedness --- time domain --- frequency domain --- natural gas --- crude oil --- electricity utilities sector index --- time–frequency dynamics --- ESG --- renewable energy --- copula --- value-at-risk --- electricity --- spot --- futures --- transmission --- pipelines --- external cost --- health --- property damage --- bodily injury --- uncertainty --- insurance --- coal --- spillover effects --- dynamic approaches --- forecasting --- logistic regression --- random forests --- support vector machines --- US natural gas crises --- XGboost --- neural networks --- oil futures prices crashes --- foresting --- logistical regression --- extreme gradient boosting --- moving window --- SVAR --- oil price --- gas price --- US macroeconomic aggregates --- GDP --- CPI