Forecasting

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Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. (Wikipedia.org)






Conferences related to Forecasting

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2019 IEEE Milan PowerTech

PowerTech is the IEEE PES anchor conference in Europe and has been attended by hundreds of delegates from around the world. It will be an international forum with programme for individuals working in industry and academia, to network, exchange ideas, and discuss the results of their research and development work.

  • 2017 IEEE Manchester PowerTech

    this is IEEE PES anchor conference in Europe covering all areas of electrical power engineering

  • 2015 IEEE Eindhoven PowerTech

    This conference will continue the tradition of the PowerTech conferences held in odd years in Athens, Stockholm, Budapest, Porto, Bologna, St. Petersburg, Lausanne, Bucharest, Trondheim and Grenoble.PowerTech is the anchor conference of the IEEE Power Engineering Society in Europe. It is intended to provide a forum, in the European geographical area, for scientists and engineers interested in electric power engineering to exchange ideas, results of their scientific work, to learn from each other as well as to establish new friendships and rekindle existing ones. Student participation in Power Tech provides an important ingredient toward the event’s success: a special award, the Basil Papadias Award, is presented to the author of the best student paper at each edition. The Power Engineering Society of IEEE organized similar conferences in other parts of the world, such as PowerCon, in the Asia-Pacific region.

  • 2013 IEEE Grenoble PowerTech

    PowerTech is the anchor conference of the IEEE Power & Energy Society in Europe. It is intended to provide a forum for electric power engineering scientists and engineers to share ideas, results of their scientific work, to learn from each other as well as to establish new friendships and maintain existing ones.

  • 2011 IEEE Trondheim PowerTech

    PowerTech is the anchor conference of the IEEE Power & Energy Society in Europe. It is intended to provide a forum for electric power engineering scientists and engineers to share ideas, results of their scientific work and to learn from each other.

  • 2009 IEEE Bucharest Power Tech

    PowerTech is the anchor conference of the IEEE-PES in Europe. It is intended to provide a forum for scientists and engineers interested in electric power engineering to share ideas, results of their scientific work, to learn from each other as well as to establish new friendships and rekindle existing ones.

  • 2007 IEEE Power Tech

  • 2005 IEEE Russia Power Tech

  • 2003 Bologna Power Tech


2018 15th International Conference on the European Energy Market (EEM)

The European Energy Market is the international conference dealing with energy markets and operation of power systems in the competitive environment. The scope of the conference includes:electricity market design, regulation and monitoring;technical aspects of electricity market operation, operation, modelling, forecasting and simulation of commodity, technical and financial markets;implementation of the European energy and climate policy;infrastructure development and asset management;presence and future of gas and coal markets;Operation, modeling, forecasting and simulation of commodity;Technical and financial markets


2018 53rd International Universities Power Engineering Conference (UPEC)

UPEC is a long-established international conference which provides a major forum for scientists, young researchers, PhD students and engineers worldwide to present, review and discuss the latest developments in Electrical Power Engineering and relevant technologies including energy storage and renewables

  • 2016 51st International Universities Power Engineering Conference (UPEC)

    UPEC is a long-established conference, which is very popular with young researchers, PhD students and engineers from the electrical power industry. The aim of the conference is to allow participants to exchange experiences and discuss the most up-to-date topics in Power Engineering. The global energy challenge, the ageing of electrical networks in industrial countries, and the extension of the grid systems in developing countries require significant research input in the area. UPEC is an ideal forum to address some of these issues, and to network and meet with talented engineers and innovators in these areas.

  • 2015 50th International Universities Power Engineering Conference (UPEC)

    The conference provides a major international focus for the presentation, discussion and exchange of information concerning new trends in Electrical Power Engineering. The conference is very popular with young researchers, PhD students and engineers from the electrical power industry. Given the major challenges now facing the electrical power industry, and the energy sector in general, this conference provides an ideal opportunity to address some of these challenges.

  • 2014 49th International Universities Power Engineering Conference (UPEC)

    Given the major challenges now facing the electrical power industry, and the energy sector in general, this conference provides an ideal opportunity to address some of these challenges. It also provides the opportunity to network and to meet the experts in these areas.

  • 2013 48th Universities' Power Engineering Conference (UPEC)

    The conference provides a major international focus for the presentation, discussion and exchange of information concerning new trends in Electrical Power Engineering. The conference is very popular with young researchers, PhD students and engineers from the electrical power industry. Given the major challenges now facing the electrical power industry, and the energy sector in general, this conference provides an ideal opportunity to address some of these challenges.

  • 2012 47th International Universities Power Engineering Conference (UPEC)

    A major international forum for the presentation, discussion and exchange of information concerning new trends in electrical power engineering. To become better informed about the latest developments in the field of power engineering.

  • 2010 45th International Universities Power Engineering Conference (UPEC)

    The global energy challenge, the ageing of electrical networks in industrial countries, and the extension of the grids in developing countries require significant research effort and the need for talented engineers and innovators is critical to the electrical energy industry. UPEC is an ideal forum to address such issues, and to network and meet experts in these areas

  • 2009 44th International Universities Power Engineering Conference (UPEC)

    UPEC has been long-established as a major annual international forum for the presentation, discussion and exchange of information concerning new trends in all areas of electric power engineering. Contributions from younger engineers and researchers are particularly encouraged at UPEC, where ideas can be aired freely and new relationships developed.

  • 2008 43rd International Universities Power Engineering Conference (UPEC)

    Its aim will be to provide a professional forum for engineers and research scientists from the universities, consultants, and in the manufacturing and supply industries opportunities to present their work and explore potential trends and recent developments, current practices in Power Engineering and related fields.

  • 2007 Universities Power Engineering Conference (UPEC)

  • 2006 International Universities Power Engineering Conference (UPEC)

  • 2004 International Universities Power Engineering Conference (UPEC)


2018 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


2018 Condition Monitoring and Diagnosis (CMD)

CMD provides a forum for both researchers and experts in power engineering to discuss and share ideas, present results, reflect on past experiences and discuss future projects on the high voltage electric power apparatus monitoring, fault diagnosis and asset management.

  • 2016 International Conference on Condition Monitoring and Diagnosis (CMD)

    The conference will cover the following topics: 1) Evaluation of failure and degradation of power equipment based on CMD; 2) Advanced sensors and diagnosis techniques for smart grid; 3) Strategy planning and asset management for power equipment; 4) Fusion of big data and smart grid control with CMD techniques for power equipment; 5) Insulation structure design and lifetime assessment for HVDC system; 6) Degradation and lifetime assessment of new energy devices for power geneartion and storage.

  • 2012 IEEE International Conference on Condition Monitoring and Diagnosis (CMD)

    Condition monitoring and diagnosis for power equipments and power systems,power plants, dielectric materials and their aging mechanisms, degradation assessment for power system, application of information and communication technologies for condition monitoring and diagnosis, tropical climate and other related issues including recycling, reuse and mitigation,strategic planning and management for condition monitoring and diagnosis.

  • 2008 International Conference on Condition Monitoring and Diagnosis (CMD)

    Condition Monitoring and Diagnosis for Power Plants Condition Monitoring and Diagnosis of HV Power Apparatus and Power System Electrical, Mechanical, Thermal and Chemical Failure Phenomena Dielectric Materials Aging and Failure Mechanism Advanced Sensing Technologies for Condition Monitoring and Diagnosis Application of Artificial Intelligence for Data Mining and Condition Assessment Applications of Information Technology for Asset Management Strategic Planning and Management for Condition Monitoring


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Periodicals related to Forecasting

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


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Most published Xplore authors for Forecasting

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Xplore Articles related to Forecasting

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Variable Selection Methods for Probabilistic Load Forecasting: Empirical Evidence from Seven States of the United States

[{u'author_order': 1, u'affiliation': u'Forecasting Research and Development, SAS Institute Inc., Cary, NC, USA', u'full_name': u'Jingrui Xie'}, {u'author_order': 2, u'affiliation': u'University of North Carolina at Charlotte, Charlotte, NC, USA', u'full_name': u'Tao Hong'}] IEEE Transactions on Smart Grid, 2018

Variable selection is the process of selecting a subset of relevant variables for use in model construction. It is a critical step in forecasting but has not yet played a major role in the load forecasting literature. In probabilistic load forecasting, many methodologies to date rely on the variable selection mechanisms inherited from the point load forecasting literature. Consequently, the ...


Gumbel copula based aggregated net load forecasting for modern power systems

[{u'author_order': 1, u'affiliation': u'Samrat Ashok Technological Institute, India', u'full_name': u'Sreenu Sreekumar'}, {u'author_order': 2, u'affiliation': u'School of Automation, Banasthali Vidyapith, Rajasthan, India', u'full_name': u'Kailash Chand Sharma'}, {u'author_order': 3, u'affiliation': u'Electrical Engineering Department, Malaviya National Institute of Technology, India', u'full_name': u'Rohit Bhakar'}] IET Generation, Transmission & Distribution, 2018

Wind and solar have major share among the growing renewable penetration, due to their extensive availability and improved technologies. Both wind and solar generation are highly uncertain and intermittent as compared to system load. The increased number of such uncertain and intermittent variables necessitates complex multivariate operational strategies for system operation. A compilation of different uncertain and intermittent variables such ...


Solar Irradiance Forecasting Using Triple Exponential Smoothing

[{u'author_order': 1, u'affiliation': u'The ADAPT SFI Research Centre, Trinity College Dublin, Dublin, Ireland', u'full_name': u'Soumyabrata Dev'}, {u'author_order': 2, u'affiliation': u'Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands', u'full_name': u'Tarek AlSkaif'}, {u'author_order': 3, u'affiliation': u'The ADAPT SFI Research Centre, Trinity College Dublin, Dublin, Ireland', u'full_name': u'Murhaf Hossari'}, {u'author_order': 4, u'affiliation': u'Department of Electromechanical Engineering (C-MAST), University of Beira Interior, Covilhã, Portugal', u'full_name': u'Radu Godina'}, {u'author_order': 5, u'affiliation': u'Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands', u'full_name': u'Atse Louwen'}, {u'author_order': 6, u'affiliation': u'Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands', u'full_name': u'Wilfried van Sark'}] 2018 International Conference on Smart Energy Systems and Technologies (SEST), None

Owing to the growing concern of global warming and over-dependence on fossil fuels, there has been a huge interest in last years in the deployment of Photovoltaic (PV) systems for generating electricity. The output power of a PV array greatly depends, among other parameters, on solar irradiation. However, solar irradiation has an intermittent nature and suffers from rapid fluctuations. This ...


Some New Developments of Forecasting in Power Market

[{u'author_order': 1, u'affiliation': u'Zhejiang University, Hangzhou, China', u'full_name': u'Hanlin Liu'}, {u'author_order': 2, u'affiliation': u'Zhejiang University, Hangzhou, China', u'full_name': u'Chengjin Ye'}, {u'author_order': 3, u'affiliation': u'Zhejiang University, Hangzhou, China', u'full_name': u'Yi Ding'}, {u'author_order': 4, u'affiliation': u'Zhejiang University, Hangzhou, China', u'full_name': u'Zhangyi Chen'}, {u'author_order': 5, u'affiliation': u'State Grid Zhejiang Electric Power Co., LTD., Hangzhou, China', u'full_name': u'Xiang Xia'}, {u'author_order': 6, u'affiliation': u'State Grid Zhejiang Electric Power Co., LTD., Hangzhou, China', u'full_name': u'Jianliang Fang'}, {u'author_order': 7, u'affiliation': u'State Grid Zhejiang Electric Power Co., LTD., Hangzhou, China', u'full_name': u'Wei Jiang'}] 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), None

With the deregulation and development of power market, some new features and trends about electric power demand forecasting issues come into being, which mainly includes the following two aspects: Firstly, the forecasting has developed into a complicated problem associated with users' behavior and psychology. Secondly, short and medium-term forecasting used for bidding and clearing in power market are discussed more ...


Conditional Residual Modeling for Probabilistic Load Forecasting

[{u'author_order': 1, u'affiliation': u'State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China', u'full_name': u'Yi Wang'}, {u'author_order': 2, u'affiliation': u'State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China', u'full_name': u'Qixin Chen'}, {u'author_order': 3, u'affiliation': u'State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China', u'full_name': u'Ning Zhang'}, {u'author_order': 4, u'affiliation': u'GEIRI North America, San Jose, CA, USA', u'full_name': u'Yishen Wang'}] IEEE Transactions on Power Systems, 2018

Probabilistic load forecasting (PLF) has gained widespread attention in recent years because it presents more uncertainty information about the future loads. To further improve the PLF performance, this letter proposes a novel PLF method to leverage existing point load forecasts by modeling the conditional forecast residual. Specifically, the method firstly conducts point forecasting using the historical load data and related ...


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Educational Resources on Forecasting

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eLearning

No eLearning Articles are currently tagged "Forecasting"

IEEE-USA E-Books

  • On Replenishment Rules, Forecasting and the Bullwhip Effect in Supply Chains

    On Replenishment Rules, Forecasting and the Bullwhip Effect in Supply Chains focuses on supply chain co-ordination. The bullwhip effect is used as the key example of supply chain inefficiency. The authors focus both on the managerial relevance of the bullwhip effect and the methodological issues making it essential reading for both managers and researchers.

  • Future Trends, Forecasting, the Age of Adaptation and More Transformative Transforms

    Adaptation, scaling and context, examples of adaptation in existing and future semiconductor solutions, examples of adaptation in present and future mobile broadband systems, specialization and the role of standards making, differentiating communications and connectivity value, defining Next Generation Networks, Defining an Ultra Low Cost Network, Standards policy, spectral policy and RF economies of scale, The impact of IPR on RF component and sub system costs, The Cost of 'Design Dissipation', The particular costs of delivering broadcast content over cellular networks, Summary‐ cost and value transforms.

  • Short-term forecasting of electricity prices using mixed models

    This chapter focuses on short-term forecasting and offers a simple but accurate method and an automatic tool to compute 1-day-ahead forecasts of electricity prices. It introduces two new models, each of which deals with the 24-hourly time series of electricity prices instead of a complete one. The chapter obtains the appropriate length of the time series used to build the forecasting autoregressive integrated moving average (ARIMA) models. It presents some previous work on short-term forecasting of electricity prices and reviews the theoretical basics of time series analysis. The chapter considers a study of forecasting errors from two different points of view: descriptive and applying locally weighted regression (LOESS). It also presents the fundamentals of the design of experiments (DOE) as well as its application to develop mixed models, selecting the preferred combination of "Model" and "Length" in terms of prediction error.

  • A Nonparametric Approach for River Flow Forecasting Based on Autonomous Neural Network Models

    This chapter presents an inductive learning procedure that combines several techniques to generate a fully data¿¿¿driven forecasting model. It considers a forecasting method based on appropriate techniques for controlling Artificial neural networks (ANNs) complexity with simultaneous selection of explanatory input variables via a combination of filter and wrapper techniques. Input selection is performed, without user intervention, by applying Chaos theory and Bayesian inference. The challenging problem of rainfall forecasting is employed for showing the robustness of the proposed technique in dealing with different time¿¿¿series dynamics. In nonlinear chaotic time¿¿¿series analysis, local models are developed via the application of an automatic clustering algorithm based on the rival penalized expectation¿¿¿maximization (RPEM) algorithm. Neural network models are estimated, without cross¿¿¿validation, relying on data partitioning and Bayesian regularization for complexity control. The proposed forecasting model has been successfully tested using rainfall data from six major hydrographic basins in Brazil.

  • Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems

    This chapter describes a forecasting methodology based on the Weighted nearest neighbors (WNNs) techniques. This technique provides a very simple approach to forecast power system variables characterized by daily and weekly repetitive patterns, such as energy demand and prices. Three case studies are used in the chapter to illustrate the potential of the WNN method: the hourly energy demand in the Spanish power system; the hourly marginal prices of the day¿¿¿ahead Spanish electricity market; and the hourly demand of a particular customer. Recently, data mining techniques based on the k¿¿¿nearest neighbors (kNN) method have been applied to the next¿¿¿day load forecasting problem. In the last few years, machine learning techniques, such as artificial neural networks (ANNs), have been applied to energy price prediction owing to their relatively good performance in load forecasting and load pattern recognition. The chapter computes some of the prediction errors to assess the performance of the WNN and competing forecasting methodologies.

  • Univariate methods for short-term load forecasting

    This chapter validates the study on reviewing methods for short¿¿¿term load forecasting and using two intraday load time series to compare a variety of univariate methods. It argues that a double seasonal version of Holt¿¿¿Winters exponential smoothing was the most accurate method, with a new approach based on principal component analysis (PCA) also performing well. By investigating the performance of a range of univariate methods over different forecast horizons, it is possible to ascertain the value of employing multivariate information such as weather variables. The chapter evaluates post¿¿¿sample forecasting performance from the various methods using the mean absolute percentage error (MAPE) and the mean absolute error (MAE). It presents autoregressive moving average (ARMA) and exponential smoothing methods designed in order to capture the intraday and intraweek seasonal cycles evident in our 30¿¿¿week samples of intraday load data.

  • Electricity Price Forecasting Using Neural Networks and Similar Days

    This chapter focuses on day¿¿¿ahead forecasts of electricity price in the PJM market using artificial neural network (ANN) model based on the similar days (SD) method. The PJM competitive market is a regional transmission organization (RTO) that plays a vital role in the US electric system. The chapter contributes to forecast electricity prices in the day¿¿¿ahead market. In addition to the integration of SD and ANN method, it also proposes a new technique to forecast hourly electricity prices in the PJM market using a recursive neural network (RNN), which is based on the SD method. The proposed RNN model is also applied to generate the next three¿¿¿day price forecasts. To evaluate the performance of the proposed neural networks, the mean absolute percentage error (MAPE), mean absolute error (MAE), and forecast mean square error (FMSE) are calculated.

  • Forecasting pollution

    This chapter contains sections titled: The delimitation of the subject matter, Forecasting air pollution potential, Forecasting urban air pollution concentration, Episode forecasting, Forecasting the concentration of accumulation episodes, Pollution forecasting by the use of frequency distribution patterns, References

  • Forecasting or Early Warning of Earthquakes

    This chapter contains sections titled: Motivation, Morphology, Background, Seismicity Forecasting Using ANNS, Hayward Fault Seismicity, Synthetic Seismicity, Network Architecture, Earthquake Warning Systems, Summary, Exercises, References

  • Insolation Forecasting

    This chapter contains sections titled: Introduction, Solar Forecast Research and Development, The NWS Operational Solar Insolation Forecast System, Summary, References



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