Renewable Energy Forecasting And Risk Management PDF Download
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| Author | : Philippe Drobinski |
| Publisher | : Springer |
| Total Pages | : 246 |
| Release | : 2018-12-27 |
| Genre | : Mathematics |
| ISBN | : 3319990527 |
Download Renewable Energy: Forecasting and Risk Management Book in PDF, ePub and Kindle
Gathering selected, revised and extended contributions from the conference ‘Forecasting and Risk Management for Renewable Energy FOREWER’, which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems.
| Author | : Kevin Berk |
| Publisher | : Springer |
| Total Pages | : 123 |
| Release | : 2015-01-20 |
| Genre | : Business & Economics |
| ISBN | : 3658086696 |
Download Modeling and Forecasting Electricity Demand Book in PDF, ePub and Kindle
The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for estimating the risk of retail contracts. The uncertainty of electricity demand is an important risk factor for customers as well as for utilities and retailers. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants.
| Author | : Georges Kariniotakis |
| Publisher | : Woodhead Publishing |
| Total Pages | : 386 |
| Release | : 2017-09-29 |
| Genre | : Technology & Engineering |
| ISBN | : 0081005059 |
Download Renewable Energy Forecasting Book in PDF, ePub and Kindle
Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets. Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects. Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries Reviews state-of-the-science techniques for renewable energy forecasting Contains chapters on operational applications
| Author | : United Nations Environment Programme. Division of Technology, Industry, and Economics |
| Publisher | : UNEP/Earthprint |
| Total Pages | : 104 |
| Release | : 2004 |
| Genre | : Business & Economics |
| ISBN | : 9280724452 |
Download Financial Risk Management Instruments for Renewable Energy Projects Book in PDF, ePub and Kindle
Appropriate risk management tools can help remove some of the barriers to financing Renewable Energy Technology (RET) projects, particularly in developing countries where risk and risk perceptions are highest. That is why UNEP is working on a comprehensive overview of currently available and potential financial risk management instruments for Renewable Energy Technology (RET) projects. This study will pave the way for an upcoming GEF project that will promote the use of financial risk management instruments that favor the development of RETs.
| Author | : Alberto Troccoli |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 361 |
| Release | : 2009-12-21 |
| Genre | : Science |
| ISBN | : 9048136911 |
Download Management of Weather and Climate Risk in the Energy Industry Book in PDF, ePub and Kindle
Meteorological and climate data are indeed essential both in day-to-day energy management and for the definition of production and distribution infrastructures. For instance, the supply of electricity to users can be disturbed by extreme meteorological events such as thunderstorms with unusually strong winds, severe icing, severe cold spells, sea level elevation associated with storm surges, floods ... To be protected against such events, it is not sufficient to act after they have taken place. It is necessary to identify their potential impacts precisely and assess the probability of their occurrence. This book shows that this can only be done through an enhanced dialogue between the energy community and the climate and meteorology community. This implies an in-depth dialogue between actors to define precisely what kind of data is needed and how it should be used. Météo-France has been in long-term cooperation with the energy sector, including the fields of electricity production and distribution. Drawing on this experience, it should be noted in this respect the importance of lo- term partnership between actors as exemplified here by the message of EDF.
| Author | : Alberto Troccoli |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 527 |
| Release | : 2014-01-18 |
| Genre | : Science |
| ISBN | : 1461492211 |
Download Weather Matters for Energy Book in PDF, ePub and Kindle
It is the purpose of this book to provide the meteorological knowledge and tools to improve the risk management of energy industry decisions, ranging from the long term finance and engineering planning assessments to the short term operational measures for scheduling and maintenance. Most of the chapters in this book are based on presentations given at the inaugural International Conference Energy & Meteorology (ICEM), held in the Gold Coast, Australia, 8-11 November 2011. The main aim of the conference was to strengthen the link between Energy and Meteorology, so as to make meteorological information more relevant to the planning and operations of the energy sector. The ultimate goal would be to make the best use of weather and climate data in order to achieve a more efficient use of energy sources. This book seeks to realise the same objective.
| Author | : Corinna Möhrlen |
| Publisher | : Academic Press |
| Total Pages | : 390 |
| Release | : 2022-11-12 |
| Genre | : Technology & Engineering |
| ISBN | : 0443186820 |
Download IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions Book in PDF, ePub and Kindle
Published as an Open Access book available on Science Direct, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions translates decades of academic knowledge and standard requirements into applicable procedures and decision support tools for the energy industry. Designed specifically for practitioners in the energy industry, readers will find the tools to maximize the value of renewable energy forecast information in operational decision-making applications and significantly reduce the costs of integrating large amounts of wind and solar generation assets into grid systems through more efficient management of the renewable generation variability. Authored by a group of international experts as part of the IEA Wind Task 36 (Wind Energy Forecasting), the book addresses the issue that many current operational forecast solutions are not properly optimized for their intended applications. It provides detailed guidelines and recommended practices on forecast solution selection processes, designing and executing forecasting benchmarks and trials, forecast solution evaluation, verification, and validation, and meteorological and power data requirements for real-time forecasting applications. In addition, the guidelines integrate probabilistic forecasting, integrate wind and solar forecasting, offer improved IT data exchange and data format standards, and have a dedicated section to dealing with the requirements for SCADA and meteorological measurements. A unique and comprehensive reference, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions is an essential guide for all practitioners involved in wind and solar energy generation forecasting from forecast vendors to end-users of renewable forecasting solutions. Brings together the decades-long expertise of authors from a range of backgrounds, including universities and government laboratories, commercial forecasters, and operational forecast end-users into a single comprehensive set of practices Addresses all areas of wind power forecasting, including forecasting methods, measurement selection, setup and data quality control, and the evaluation of forecasting processes related to renewable energy forecasting Provides purpose-built decision-support tools, process diagrams, and code examples to help readers visualize and navigate the book and support decision-making
| Author | : João P. S. Catalão |
| Publisher | : CRC Press |
| Total Pages | : 464 |
| Release | : 2017-12-19 |
| Genre | : Science |
| ISBN | : 1351832573 |
Download Electric Power Systems Book in PDF, ePub and Kindle
Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling helps readers develop their skills in modeling, simulating, and optimizing electric power systems. Carefully balancing theory and practice, it presents novel, cutting-edge developments in forecasting and scheduling. The focus is on understanding and solving pivotal problems in the management of electric power generation systems. Methods for Coping with Uncertainty and Risk in Electric Power Generation Outlining real-world problems, the book begins with an overview of electric power generation systems. Since the ability to cope with uncertainty and risk is crucial for power generating companies, the second part of the book examines the latest methods and models for self-scheduling, load forecasting, short-term electricity price forecasting, and wind power forecasting. Toward Optimal Coordination between Hydro, Thermal, and Wind Power Using case studies, the third part of the book investigates how to achieve the most favorable use of available energy sources. Chapters in this section discuss price-based scheduling for generating companies, optimal scheduling of a hydro producer, hydro-thermal coordination, unit commitment with wind generators, and optimal optimization of multigeneration systems. Written in a pedagogical style that will appeal to graduate students, the book also expands on research results that are useful for engineers and researchers. It presents the latest techniques in increasingly important areas of power system operations and planning.
| Author | : Fouzi Harrou |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 212 |
| Release | : 2020-04-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1838800913 |
Download Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems Book in PDF, ePub and Kindle
Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.
| Author | : Raimund M. Kovacevic |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 506 |
| Release | : 2013-11-27 |
| Genre | : Business & Economics |
| ISBN | : 1461490359 |
Download Handbook of Risk Management in Energy Production and Trading Book in PDF, ePub and Kindle
This book presents an overview of the risks involved in modern electricity production, delivery and trading, including technical risk in production, transportation and delivery, operational risk for the system operators, market risks for traders, and political and other long term risks in strategic management. Using decision making under uncertainty as a methodological background, the book is divided into four parts, with Part I focusing on energy markets, particularly electricity markets. Topics include a nontechnical overview of energy markets and their main properties, basic price models for energy commodity prices, and modeling approaches for electricity price processes. Part II looks at optimal decisions in managing energy systems, including hydropower dispatch models, cutting plane algorithms and approximative dynamic programming; hydro-thermal production; renewable; stochastic investments and operational optimization models for natural gas transport; decision making in operating electricity networks; and investment in extending energy production systems. Part III explores pricing, including electricity swing options and the pricing of derivatives with volume control. Part IV looks at long-term and political risks, including energy systems under aspects of climate change, and catastrophic operational risks, particularly risks from terrorist attacks.
