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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Density Forecasting for Long-Term Peak Electricity Demand

[{u'author_order': 1, u'affiliation': u'Business and Economic Forecasting Unit, Monash University, Clayton, Australia', u'full_name': u'Rob J. Hyndman'}, {u'author_order': 2, u'affiliation': u'Business and Economic Forecasting Unit, Monash University, Clayton, Australia', u'full_name': u'Shu Fan'}] IEEE Transactions on Power Systems, 2010

Long-term electricity demand forecasting plays an important role in planning for future generation facilities and transmission augmentation. In a long-term context, planners must adopt a probabilistic view of potential peak demand levels. Therefore density forecasts (providing estimates of the full probability distributions of the possible future values of the demand) are more helpful than point forecasts, and are necessary for ...


Wind Speed Forecasting Based on Support Vector Machine with Forecasting Error Estimation

[{u'author_order': 1, u'affiliation': u'School of Energy and Power Engineering, North China Electric Power University, Beijing 102206, China. E-MAIL: jiguorui@gmail.com', u'full_name': u'Guo-Rui Ji'}, {u'author_order': 2, u'affiliation': u'School of Control Science and Engineering, North China Electric Power University, Baoding 071003, China', u'full_name': u'Pu Han'}, {u'author_order': 3, u'affiliation': u'School of Control Science and Engineering, North China Electric Power University, Baoding 071003, China', u'full_name': u'Yong-Jie Zhai'}] 2007 International Conference on Machine Learning and Cybernetics, 2007

An approach of a mean hourly wind speed forecasting in wind farm is proposed in this paper. It applies support vector regression as well as forecasting error estimation. Firstly, support vector regression is applied to the mean hourly wind speed forecasting. Secondly, a support vector classifier is trained to estimate the forecasting error. Finally, the forecasting results can tailor themselves ...


The short-term electric load forecasting grid model based on MDRBR algorithm

[{u'author_order': 1, u'affiliation': u'North China Electr. Power Univ., Baoding, China', u'full_name': u'Ran Li'}, {u'author_order': 2, u'affiliation': u'North China Electr. Power Univ., Baoding, China', u'full_name': u'Jing Hua Li'}, {u'author_order': 3, u'affiliation': u'North China Electr. Power Univ., Baoding, China', u'full_name': u'He Ming Li'}] 2006 IEEE Power Engineering Society General Meeting, 2006

In load forecasting of a bulk power system, the geographical scope of forecasting region is large, the main electrical load effecting factors in sub districts are different greatly. So it is very significance to establish different load forecasting model according to self-feature of each sub district of a large area, by which the forecasting load is closer to the fact ...


Secondary Forecasting Based on Deviation Analysis for Short-Term Load Forecasting

[{u'author_order': 1, u'affiliation': u'State Key Lab of Power Systems, Dept. of Electrical Engineering, Tsinghua University, China', u'full_name': u'Yang Wang'}, {u'author_order': 2, u'affiliation': u'State Key Lab of Power Systems, Dept. of Electrical Engineering, Tsinghua University, China', u'full_name': u'Qing Xia'}, {u'author_order': 3, u'affiliation': u'State Key Lab of Power Systems, Dept. of Electrical Engineering, Tsinghua University, China', u'full_name': u'Chongqing Kang'}] IEEE Transactions on Power Systems, 2011

Short-term load forecasting (STLF) is the basis of power system planning and operation. With regard to the fast-growing load in China, a novel two-stage hybrid forecasting method is proposed in this paper. In the first stage, daily load is forecasted by time-series methods; in the second stage, the deviation caused by time-series methods is forecasted considering the impact of relative ...


Development of 24-hour optimal scheduling algorithm for energy storage system using load forecasting and renewable energy forecasting

[{u'author_order': 1, u'affiliation': u'Division of Energy Systems Research, Ajou University, Suwon, South Korea', u'full_name': u'Wonjun Lee'}, {u'author_order': 2, u'affiliation': u'Division of Energy Systems Research, Ajou University, Suwon, South Korea', u'full_name': u'Jaesung Jung'}, {u'author_order': 3, u'affiliation': u'Department of Energy Science, Sungkyunkwan University, Suwon, South Korea', u'full_name': u'Munsu Lee'}] 2017 IEEE Power & Energy Society General Meeting, 2017

This paper presents the 24-hour optimal scheduling algorithm for Energy Storage System (ESS) using load forecasting and renewable energy forecasting in South Korea electricity tariff structure. For load forecasting and renewable energy forecasting, 24-hour multivariate forecasting model combining very-short-term and short-term forecasting models is developed. Then, load and renewable forecasts are input to the optimal ESS scheduling algorithm. The objective ...


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Educational Resources on Forecasting

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eLearning

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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.

  • 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.

  • Load Forecasting

    Load forecast plays a crucial role in all aspects of planning, operation and control of an electric power system. It is an essential function for operating a power network reliably and economically. Load forecast can be classified as short term load forecast (STLF), midterm load forecast (MTLF), and long‐term load forecast (LTLF). Forecasting methodologies can be classified on the method used. In a more definitive way, they can be categorized as deterministic or probabilistic. Spatial load forecasting is based on three aspects as main requirements: how well the forecast supports the planning process, where will the future load develop, and when will the expected load growth occur. The three aspects are explained to indicate their effect on estimating the load forecast and consequently on the planning process. Spatial electric load forecasting methods can be grouped into three categories: nonanalytic, trending and simulation.

  • 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.

  • 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.

  • 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.

  • Introduction

    This introduction provides an overview of the key concepts discussed in the subsequent chapters of this book. The book deals with advances in forecasting technologies in electric power system applications. In addition to power system load forecasting, it discusses electricity price forecasting and a storm‐caused outage duration forecasting. The book offers sophisticated treatments of load forecasting, while deals with innovative approaches to price forecasting. It describes five methods: autoregressive moving average (ARMA) modeling; periodic AR modeling; exponential smoothing for double seasonality; a recently proposed alternative exponential smoothing formulation; and a method based on principal component analysis (PCA) of the daily load profiles. The book summarizes a set of stochastic process models that can be used for electricity prices according to the purpose of modeling. It also describes commonly used continuous time stochastic models such as Brownian motion, mean reversion process, geometric Brownian motion, geometric mean reversion process.

  • 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.

  • ShortTerm Load Forecasting

    The principal objective of short-term load forecasting (STLF) is to provide the load prediction for basic generation scheduling functions, for assessing the security of system operation, and for timely dispatcher information. This chapter presents a discussion of STLF.

  • Electricity Price Forecasting

    With the introduction of deregulation into the power industry, the price of electricity has been the key to all activities in the power market. Accurately and efficiently forecasting electricity prices becomes more and more important. In this chapter, the authors mainly describe short-term price forecasting (STPF) of electricity in the environment of a restructured power market.



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