Demand Forecasting for Electric Utilities
Author: Clark W. Gellings
Publisher:
Published: 1992
Total Pages: 552
ISBN-13:
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Solar Energy Forecasting and Resource Assessment
Author: Jan Kleissl
Publisher: Academic Press
Published: 2013-06-25
Total Pages: 503
ISBN-13: 012397772X
DOWNLOAD EBOOKSolar Energy Forecasting and Resource Assessment is a vital text for solar energy professionals, addressing a critical gap in the core literature of the field. As major barriers to solar energy implementation, such as materials cost and low conversion efficiency, continue to fall, issues of intermittency and reliability have come to the fore. Scrutiny from solar project developers and their financiers on the accuracy of long-term resource projections and grid operators' concerns about variable short-term power generation have made the field of solar forecasting and resource assessment pivotally important. This volume provides an authoritative voice on the topic, incorporating contributions from an internationally recognized group of top authors from both industry and academia, focused on providing information from underlying scientific fundamentals to practical applications and emphasizing the latest technological developments driving this discipline forward. - The only reference dedicated to forecasting and assessing solar resources enables a complete understanding of the state of the art from the world's most renowned experts. - Demonstrates how to derive reliable data on solar resource availability and variability at specific locations to support accurate prediction of solar plant performance and attendant financial analysis. - Provides cutting-edge information on recent advances in solar forecasting through monitoring, satellite and ground remote sensing, and numerical weather prediction.
Renewable Energy Forecasting
Author: Georges Kariniotakis
Publisher: Woodhead Publishing
Published: 2017-09-29
Total Pages: 388
ISBN-13: 0081005059
DOWNLOAD EBOOKRenewable 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
Hybrid Intelligent Technologies in Energy Demand Forecasting
Author: Wei-Chiang Hong
Publisher: Springer Nature
Published: 2020-01-01
Total Pages: 188
ISBN-13: 3030365298
DOWNLOAD EBOOKThis book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies. It covers meta-heuristic algorithms, chaotic mapping mechanism, quantum computing mechanism, recurrent mechanisms, phase space reconstruction, and recurrence plot theory. The book clearly illustrates how these intelligent technologies could be hybridized with those traditional forecasting models. This book provides many figures to deonstrate how these hybrid intelligent technologies are being applied to exceed the limitations of existing models.
Power System Planning Technologies and Applications: Concepts, Solutions and Management
Author: Elkarmi, Fawwaz
Publisher: IGI Global
Published: 2012-02-29
Total Pages: 297
ISBN-13: 1466601744
DOWNLOAD EBOOK"This book focuses on the technical planning of power systems, taking into account technological evolutions in equipment as well as the economic, financial, and societal factors that drive supply and demand and have implications for technical planning at the micro level"--Provided by publisher.
Advances in Electric Power and Energy Systems
Author: Mohamed E. El-Hawary
Publisher: John Wiley & Sons
Published: 2017-07-12
Total Pages: 341
ISBN-13: 1118171349
DOWNLOAD EBOOKA comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world’s foremost names in the field who address a range of critical issues, from forecasting power system load to power system pricing to post-storm service restoration times, river flow forecasting, and more. In a time of ever-increasing energy demands, mounting concerns over the environmental impacts of power generation, and the emergence of new, smart-grid technologies, electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every maximization strategy. This book fills a gap in the literature on this increasingly important topic. Following an introductory chapter offering background information necessary for a full understanding of the forecasting issues covered, this book: Introduces advanced methods of time series forecasting, as well as neural networks Provides in-depth coverage of state-of-the-art power system load forecasting and electricity price forecasting Addresses river flow forecasting based on autonomous neural network models Deals with price forecasting in a competitive market Includes estimation of post-storm restoration times for electric power distribution systems Features contributions from world-renowned experts sharing their insights and expertise in a series of self-contained chapters Advances in Electric Power and Energy Systems is a valuable resource for practicing engineers, regulators, planners, and consultants working in or concerned with the electric power industry. It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.
Spatial Electric Load Forecasting
Author: H. Lee Willis
Publisher: CRC Press
Published: 2002-08-09
Total Pages: 770
ISBN-13: 9780203910764
DOWNLOAD EBOOKContaining 12 new chapters, this second edition offers increased coverage of weather correction and normalization of forecasts, anticipation of redevelopment, determining the validity of announced developments, and minimizing risk from over- or under-planning. It provides specific examples and detailed explanations of key points to consider for both standard and unusual utility forecasting situations, information on new algorithms and concepts in forecasting, a review of forecasting pitfalls and mistakes, case studies depicting challenging forecast environments, and load models illustrating various types of demand.
Intelligent Energy Demand Forecasting
Author: Wei-Chiang Hong
Publisher: Springer Science & Business Media
Published: 2013-03-12
Total Pages: 203
ISBN-13: 1447149688
DOWNLOAD EBOOKAs industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.
Energy for Sustainability
Author: John Randolph
Publisher:
Published: 2018
Total Pages: 637
ISBN-13: 9781642830347
DOWNLOAD EBOOKDespite a 2016-18 glut in fossil fuel markets and decade-low fuel prices, the global transformation to sustainable energy is happening. Our ongoing energy challenges and solutions are complex and multidimensional, involving science, technology, design, economics, finance, planning, policy, politics, and social movements. The most comprehensive book on this topic, Energy for Sustainability has been the go-to resource for courses. This new edition has been thoroughly revised and updated to inform and guide students and practitioners who will steer this transformation. Drawing on a combined 80 years of teaching experience, John Randolph and Gilbert Masters take a holistic and interdisciplinary approach. Energy for Sustainability can help techies and policymakers alike understand the mechanisms required to enable conversion to energy that is clean, affordable, and secure. Major revisions to this edition reflect the current changes in technology and energy use and focus on new analyses, data, and methods necessary to understand and actively participate in the transition to sustainable energy. The book begins with energy literacy, including patterns and trends, before covering the fundamentals of energy related to physics, engineering, and economics. The next parts explore energy technologies and opportunities in three important energy sectors: buildings, electricity, and transportation. The final section focuses on policy and planning, presenting the critical role of public policy and consumer and investor choice in transforming energy markets to greater sustainability. Throughout the book, methods for energy and economic analysis and design give readers a quantitative appreciation for and understanding of energy systems. The book uses case studies extensively to demonstrate current experience and illustrate possibilities.
Forecasting: principles and practice
Author: Rob J Hyndman
Publisher: OTexts
Published: 2018-05-08
Total Pages: 380
ISBN-13: 0987507117
DOWNLOAD EBOOKForecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
