Renewable Energy Forecasting

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

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  • Author : Georges Kariniotakis
  • Publisher : Woodhead Publishing
  • Pages : 386 pages
  • ISBN : 0081005059
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKRenewable Energy Forecasting

Renewable Energy Forecasting

Renewable Energy Forecasting
  • Author : Georges Kariniotakis
  • Publisher : Woodhead Publishing
  • Release : 29 September 2017
GET THIS BOOKRenewable Energy Forecasting

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: Forecasting and Risk Management

Renewable Energy: Forecasting and Risk Management
  • Author : Philippe Drobinski,Mathilde Mougeot,Dominique Picard,Riwal Plougonven,Peter Tankov
  • Publisher : Springer
  • Release : 27 December 2018
GET THIS BOOKRenewable Energy: Forecasting and Risk Management

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;

Solar Energy Forecasting and Resource Assessment

Solar Energy Forecasting and Resource Assessment
  • Author : Jan Kleissl
  • Publisher : Academic Press
  • Release : 25 June 2013
GET THIS BOOKSolar Energy Forecasting and Resource Assessment

Solar 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

Time Series Analysis and Applications

Time Series Analysis and Applications
  • Author : Nawaz Mohamudally
  • Publisher : BoD – Books on Demand
  • Release : 24 January 2018
GET THIS BOOKTime Series Analysis and Applications

Time Series Analysis (TSA) and Applications offers a dense content of current research and development in the field of data science. The book presents time series from a multidisciplinary approach that covers a wide range of sectors ranging from biostatistics to renewable energy forecasting. Contrary to previous literatures on time, serious readers will discover the potential of TSA in areas other than finance or weather forecasting. The choice of the algorithmic transform for different scenarios, which is a key determinant

Time Series and Renewable Energy Forecasting

Time Series and Renewable Energy Forecasting
  • Author : Mahmoud Ghofrani
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKTime Series and Renewable Energy Forecasting

Reliability is a key important criterion in every single system in the world, and it is not different in engineering. Reliability in power systems or electric grids can be generally defined as the availability time (capable of fully supplying the demand) of the system compared to the amount of time it is unavailable (incapable of supplying the demand). For systems with high uncertainties, such as renewable energy based power systems, achieving a high level of reliability is a formidable challenge

Renewable Energy Resource Assessment and Forecasting

Renewable Energy Resource Assessment and Forecasting
  • Author : George Galanis
  • Publisher : MDPI
  • Release : 27 November 2020
GET THIS BOOKRenewable Energy Resource Assessment and Forecasting

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research

Time Series and Renewable Energy Forecasting, Chapter 12

Time Series and Renewable Energy Forecasting, Chapter 12
  • Author : Mahmoud Ghofrani
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKTime Series and Renewable Energy Forecasting, Chapter 12

Reliability is a key important criterion in every single system in the world, and it is not different in engineering. Reliability in power systems or electric grids can be generally defined as the availability time (capable of fully supplying the demand) of the system compared to the amount of time it is unavailable (incapable of supplying the demand). For systems with high uncertainties, such as renewable energy based power systems, achieving a high level of reliability is a formidable challenge

Probabilistic Renewable Energy Forecasting by Considering Spatial-temporal Correlation

Probabilistic Renewable Energy Forecasting by Considering Spatial-temporal Correlation
  • Author : Mucun Sun
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKProbabilistic Renewable Energy Forecasting by Considering Spatial-temporal Correlation

Renewable energy forecasts can help reduce the amount of operating reserves needed for the system, reducing costs of balancing the system, and improving the reliability of the system. Conventional deterministic forecasts might not be sufficient to characterize the inherent uncertainty of renewable energy. Probabilistic forecasts that provide quantitative uncertainty information associated with renewable energy are therefore expected to better assist power system operations. Meanwhile, studies have shown that the integration of geographically dispersed and correlated wind/solar farms could reduce

Analytics and Optimization for Renewable Energy Integration

Analytics and Optimization for Renewable Energy Integration
  • Author : Ning Zhang,Chongqing Kang,Ershun Du,Yi Wang
  • Publisher : CRC Press
  • Release : 21 February 2019
GET THIS BOOKAnalytics and Optimization for Renewable Energy Integration

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate

Dependability Engineering

Dependability Engineering
  • Author : Fausto Pedro García Márquez,Mayorkinos Papaelias
  • Publisher : BoD – Books on Demand
  • Release : 06 June 2018
GET THIS BOOKDependability Engineering

The new technology and system communication advances are being employed in any system, being more complex. The system dependability considers the technical complexity, size, and interdependency of the system. The stochastic characteristic together with the complexity of the systems as dependability requires to be under control the Reliability, Availability, Maintainability, and Safety (RAMS). The dependability contemplates, therefore, the faults/failures, downtimes, stoppages, worker errors, etc. Dependability also refers to emergent properties, i.e., properties generated indirectly from other systems by

Time Series and Renewable Energy Forecasting, Chapter 6

Time Series and Renewable Energy Forecasting, Chapter 6
  • Author : Mahmoud Ghofrani
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKTime Series and Renewable Energy Forecasting, Chapter 6

Renewable energy generation has been constantly increasing during recent years. Wind and solar have had the most significant growths among all renewable resources. Wind and solar resources are highly intermittent and dependent on meteorological parameters and climatic conditions. The power output of wind turbines is subject to various meteorological parameters, such as wind speed, wind direction, air temperature, relative humidity, etc., among which the wind speed is the most direct and influential factor in wind power generation. Solar photovoltaic (PV)

Energy Time Series Forecasting

Energy Time Series Forecasting
  • Author : Lars Dannecker
  • Publisher : Springer
  • Release : 06 August 2015
GET THIS BOOKEnergy Time Series Forecasting

Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing amount of renewable energy sources. It is also important to facilitate the move from static day ahead electricity trading towards more dynamic real-time marketplaces. The online forecasting

Real-time Forecasting for Renewable Energy Development

Real-time Forecasting for Renewable Energy Development
  • Author : United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Energy and Environment
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKReal-time Forecasting for Renewable Energy Development

"A significant barrier to the widespread adoption of many forms of renewable energy, including wind, solar, and marine and hydrokinetic power, is that these sources are intermittent. Electric grid managers address this intermittency by adjusting the delivery of other sources of power based on expected changes in renewable power output. These expected changes are called power production forecasts. Such forecasts must take into account changing weather conditions in conjunction with the land's topography near a renewable energy device, along with

Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems

Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems
  • Author : Fouzi Harrou,Ying Sun
  • Publisher : BoD – Books on Demand
  • Release : 01 April 2020
GET THIS BOOKAdvanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems

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