Applied Operations Research and Financial Modelling in Energy

Applied Operations Research and Financial Modelling in Energy PDF Author: André B. Dorsman
Publisher: Springer Nature
ISBN: 3030849813
Category : Business & Economics
Languages : en
Pages : 283

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Book Description
This book on Applied Operations Research and Financial Modelling in Energy (AORFME) presents several applications of operations research (OR) and financial modelling. The contributions by a group of OR and Finance researchers focus on a variety of energy decisions, presenting a quantitative perspective, and providing policy implications of the proposed or applied methodologies. The content is divided into three main parts: Applied OR I: Optimization Approaches, Applied OR II: Forecasting Approaches and Financial Modelling: Impacts of Energy Policies and Developments in Energy Markets. The book appeals to scholars in economics, finance and operations research, and to practitioners working in the energy sector. This is the eighth volume in a series of books on energy organized by the Centre for Energy and Value Issues (CEVI). For this volume, CEVI collaborated with Hacettepe University’s Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, Finance and Geostrategy (2018), and Financial Implications of Regulations in the Energy Industry (2020).

Applied Operations Research and Financial Modelling in Energy

Applied Operations Research and Financial Modelling in Energy PDF Author: André B. Dorsman
Publisher: Springer Nature
ISBN: 3030849813
Category : Business & Economics
Languages : en
Pages : 283

Get Book

Book Description
This book on Applied Operations Research and Financial Modelling in Energy (AORFME) presents several applications of operations research (OR) and financial modelling. The contributions by a group of OR and Finance researchers focus on a variety of energy decisions, presenting a quantitative perspective, and providing policy implications of the proposed or applied methodologies. The content is divided into three main parts: Applied OR I: Optimization Approaches, Applied OR II: Forecasting Approaches and Financial Modelling: Impacts of Energy Policies and Developments in Energy Markets. The book appeals to scholars in economics, finance and operations research, and to practitioners working in the energy sector. This is the eighth volume in a series of books on energy organized by the Centre for Energy and Value Issues (CEVI). For this volume, CEVI collaborated with Hacettepe University’s Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, Finance and Geostrategy (2018), and Financial Implications of Regulations in the Energy Industry (2020).

Applied Operations Research and Financial Modelling in Energy

Applied Operations Research and Financial Modelling in Energy PDF Author: André B. Dorsman
Publisher:
ISBN: 9783030849825
Category :
Languages : en
Pages : 0

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Book Description
This book on Applied Operations Research and Financial Modelling in Energy (AORFME) presents several applications of operations research (OR) and financial modelling. The contributions by a group of OR and Finance researchers focus on a variety of energy decisions, presenting a quantitative perspective, and providing policy implications of the proposed or applied methodologies. The content is divided into three main parts: Applied OR I: Optimization Approaches, Applied OR II: Forecasting Approaches and Financial Modelling: Impacts of Energy Policies and Developments in Energy Markets. The book appeals to scholars in economics, finance and operations research, and to practitioners working in the energy sector. This is the eighth volume in a series of books on energy organized by the Centre for Energy and Value Issues (CEVI). For this volume, CEVI collaborated with Hacettepe University's Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, Finance and Geostrategy (2018), and Financial Implications of Regulations in the Energy Industry (2020).

Handbook of Recent Advances in Commodity and Financial Modeling

Handbook of Recent Advances in Commodity and Financial Modeling PDF Author: Giorgio Consigli
Publisher: Springer
ISBN: 3319613200
Category : Business & Economics
Languages : en
Pages : 320

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Book Description
This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems arising in global financial and commodity markets from the perspective of Operations Research and Management Science. The book is structured in three parts, emphasizing common methodological approaches arising in the areas of interest: - Part I: Optimization techniques - Part II: Pricing and Valuation - Part III: Risk Modeling The book presents to a wide community of Academics and Practitioners a selection of theoretical and applied contributions on topics that have recently attracted increasing interest in commodity and financial markets. Within a structure based on the three parts, it presents recent state-of-the-art and original works related to: - The adoption of multi-criteria and dynamic optimization approaches in financial and insurance markets in presence of market stress and growing systemic risk; - Decision paradigms, based on behavioral finance or factor-based, or more classical stochastic optimization techniques, applied to portfolio selection problems including new asset classes such as alternative investments; - Risk measurement methodologies, including model risk assessment, recently applied to energy spot and future markets and new risk measures recently proposed to evaluate risk-reward trade-offs in global financial and commodity markets; and derivatives portfolio hedging and pricing methods recently put forward in the financial community in the aftermath of the global financial crisis.

Sustainable Business

Sustainable Business PDF Author: Manuel Fischer
Publisher: Springer Nature
ISBN: 3031253973
Category : Business & Economics
Languages : en
Pages : 156

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Book Description
This open access book is a compact guide to the development of sustainable business, which has become the central concept in discussions about the future development of humanity and planet earth. It provides basic terminology and concepts on sustainable business and offers insights into a new management paradigm that integrates social and environmental dimensions into business models, strategies, and operations. New business concepts such as the donut economy, the circular economy, social innovation and sustainable leadership are introduced and the book outlines how they influence the way we run businesses today and in the future. This book lays the foundation for new management thinking in business and academia, making it a essential reader for professionals and students alike.

Advanced Computational Techniques for Renewable Energy Systems

Advanced Computational Techniques for Renewable Energy Systems PDF Author: Mustapha Hatti
Publisher: Springer Nature
ISBN: 3031212169
Category : Technology & Engineering
Languages : en
Pages : 844

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Book Description
In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

Quantitative Energy Finance

Quantitative Energy Finance PDF Author: Fred Espen Benth
Publisher: Springer Science & Business Media
ISBN: 1461472482
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
Finance and energy markets have been an active scientific field for some time, even though the development and applications of sophisticated quantitative methods in these areas are relatively new—and referred to in a broader context as energy finance. Energy finance is often viewed as a branch of mathematical finance, yet this area continues to provide a rich source of issues that are fuelling new and exciting research developments. Based on a special thematic year at the Wolfgang Pauli Institute (WPI) in Vienna, Austria, this edited collection features cutting-edge research from leading scientists in the fields of energy and commodity finance. Topics discussed include modeling and analysis of energy and commodity markets, derivatives hedging and pricing, and optimal investment strategies and modeling of emerging markets, such as power and emissions. The book also confronts the challenges one faces in energy markets from a quantitative point of view, as well as the recent advances in solving these problems using advanced mathematical, statistical and numerical methods. By addressing the emerging area of quantitative energy finance, this volume will serve as a valuable resource for graduate-level students and researchers studying financial mathematics, risk management, or energy finance.

Stochastic Programming

Stochastic Programming PDF Author: Horand Gassmann
Publisher: World Scientific
ISBN: 9814407518
Category : Business & Economics
Languages : en
Pages : 549

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Book Description
This book shows the breadth and depth of stochastic programming applications. All the papers presented here involve optimization over the scenarios that represent possible future outcomes of the uncertainty problems. The applications, which were presented at the 12th International Conference on Stochastic Programming held in Halifax, Nova Scotia in August 2010, span the rich field of uses of these models. The finance papers discuss such diverse problems as longevity risk management of individual investors, personal financial planning, intertemporal surplus management, asset management with benchmarks, dynamic portfolio management, fixed income immunization and racetrack betting. The production and logistics papers discuss natural gas infrastructure design, farming Atlantic salmon, prevention of nuclear smuggling and sawmill planning. The energy papers involve electricity production planning, hydroelectric reservoir operations and power generation planning for liquid natural gas plants. Finally, two telecommunication papers discuss mobile network design and frequency assignment problems.

Complementarity Modeling in Energy Markets

Complementarity Modeling in Energy Markets PDF Author: Steven A. Gabriel
Publisher: Springer Science & Business Media
ISBN: 1441961232
Category : Business & Economics
Languages : en
Pages : 637

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Book Description
This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.

Princeton Alumni Weekly

Princeton Alumni Weekly PDF Author:
Publisher: princeton alumni weekly
ISBN:
Category :
Languages : en
Pages : 734

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Book Description


Improving Energy Efficiency in Commercial Buildings and Smart Communities

Improving Energy Efficiency in Commercial Buildings and Smart Communities PDF Author: Paolo Bertoldi
Publisher: Springer Nature
ISBN: 3030314596
Category : Technology & Engineering
Languages : en
Pages : 251

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Book Description
These proceedings present fourteen peer-reviewed papers from the 10th International Conference on Improving Energy Efficiency in Commercial Buildings and Smart Communities, which was held March 21-22, 2018 in Frankfurt, Germany. This biannual conference aims to promote and diffuse the concept of energy efficiency in new and existing commercial buildings and to enlarge the market for low consumption and sustainable non-residential buildings. It also covers smart and sustainable districts, communities and cities, since energy systems efficiency and renewable energies are often optimized at the district or municipal level. The 2018 conference focused on advanced and innovative technologies to improve the energy efficiency of commercial buildings, communities and cities as well as the policies and measures by governments at various levels to improve energy efficiency. A particular focus was on Energy Service Companies (ESCOs). The conference addresses energy policy makers at international, national, and local level; academics, researchers and energy efficiency experts; ESCOs, utilities, buildings energy and environmental managers; buildings engineers and architects; and equipment manufacturers and commercial property investors.