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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

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

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

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).

Sustainable Business

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

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.

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 : 323

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.

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

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.

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

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.

Stochastic Optimization Methods in Finance and Energy

Stochastic Optimization Methods in Finance and Energy PDF Author: Marida Bertocchi
Publisher: Springer Science & Business Media
ISBN: 1441995862
Category : Business & Economics
Languages : en
Pages : 480

Book Description
This volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. The invited authors represent a group of scientists and practitioners, who cooperated in recent years to facilitate the growing penetration of stochastic programming techniques in real-world applications, inducing a significant advance over a large spectrum of complex decision problems. After the recent widespread liberalization of the energy sector in Europe and the unprecedented growth of energy prices in international commodity markets, we have witnessed a significant convergence of strategic decision problems in the energy and financial sectors. This has often resulted in common open issues and has induced a remarkable effort by the industrial and scientific communities to facilitate the adoption of advanced analytical and decision tools. The main concerns of the financial community over the last decade have suddenly penetrated the energy sector inducing a remarkable scientific and practical effort to address previously unforeseeable management problems. Stochastic Optimization Methods in Finance and Energy: New Financial Products and Energy Markets Strategies aims to include in a unified framework for the first time an extensive set of contributions related to real-world applied problems in finance and energy, leading to a common methodological approach and in many cases having similar underlying economic and financial implications. Part 1 of the book presents 6 chapters related to financial applications; Part 2 presents 7 chapters on energy applications; and Part 3 presents 5 chapters devoted to specific theoretical and computational issues.

Financial Modeling and Risk Management of Energy and Environmental Instruments and Derivates

Financial Modeling and Risk Management of Energy and Environmental Instruments and Derivates PDF Author: Rabin K. Jana
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


The ESG Framework and the Energy Industry

The ESG Framework and the Energy Industry PDF Author: James Thewissen
Publisher: Springer Nature
ISBN: 3031484576
Category : Business & Economics
Languages : en
Pages : 314

Book Description
This book contributes to a better understanding of the importance of environmental, social, and governance (ESG) principles for corporate value in the energy industry. In particular, it analyzes how the energy industry is achieving this shift in response to government regulations and how it is addressing specific ESG issues. It discusses various economic incentives and market-based policies for ESG activities in the energy sector and highlights how energy firms are using environmental, social and governance initiatives to create value. In turn, the book demonstrates how ESG principles can be implemented while considering various economic and corporate issues, such as financial markets, financial risks, asset pricing, value at risk, capital structure, capital budgeting, corporate (re)structuring, corporate governance, behavioral finance, financial performance, asset pricing, cost control, financial accounting, fiscal issues, institutions, governance, and legal aspects. Accordingly, it will appeal to scholars of economics, finance, and energy policy, and to anyone interested in the implementation of ESG principles in the energy industry. This is the ninth book in a series organized by the Centre for Energy and Value Issues (CEVI). In this book, CEVI collaborates with the Hacettepe University Energy Markets Research and Application Center (Ankara, Turkey). The previous volumes in the series were: 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), Financial Implications of Regulations in the Energy Industry (2020) and Applied Operations Research and Financial Modelling in Energy (2021).

Stochastic Programming

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

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.