Conferences related to Wind forecasting

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


OCEANS 2020 - SINGAPORE

An OCEANS conference is a major forum for scientists, engineers, and end-users throughout the world to present and discuss the latest research results, ideas, developments, and applications in all areas of oceanic science and engineering. Each conference has a specific theme chosen by the conference technical program committee. All papers presented at the conference are subsequently archived in the IEEE Xplore online database. The OCEANS conference comprises a scientific program with oral and poster presentations, and a state of the art exhibition in the field of ocean engineering and marine technology. In addition, each conference can have tutorials, workshops, panel discussions, technical tours, awards ceremonies, receptions, and other professional and social activities.

  • OCEANS 2019 - Marseille

    Research, Development, and Operations pertaining to the Oceans

  • 2018 OCEANS - MTS/IEEE Kobe Techno-Ocean (OTO)

    The conference scope is to provide a thematic umbrella for researchers working in OCEAN engineering and related fields across the world to discuss the problems and potential long term solutions that concernnot only the oceans in Asian pacific region, but the world ocean in general.

  • OCEANS 2017 - Aberdeen

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town hall meetings on policy and governmental process.

  • OCEANS 2016 - Shanghai

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorial on ocean technology, workshops and town hall meetings on policy and governmental process.

  • OCEANS 2015 - Genova

    The Marine Technology Society and the Oceanic Engineering Society of IEEE cosponsor a joint annual conference and exposition on ocean science, engineering and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 50-200 exhibits.

  • OCEANS 2014 - TAIPEI

    The OCEANS conference covers all aspects of ocean engineering from physics aspects through development and operation of undersea vehicles and equipment.

  • OCEANS 2013 - NORWAY

    Ocean related technologies. Program includes tutorials, three days of technical papers and a concurrent exhibition. Student poster competition.

  • OCEANS 2012 - YEOSU

    The OCEANS conferences covers four days with tutorials, exhibits and three days of parallel tracks that address all aspects of oceanic engineering.

  • OCEANS 2011 - SPAIN

    All Oceans related technologies.

  • OCEANS 2010 IEEE - Sydney

  • OCEANS 2009 - EUROPE

  • OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean

  • OCEANS 2007 - EUROPE

    The theme 'Marine Challenges: Coastline to Deep Sea' focuses on the significant challenges, from the shallowest waters around our coasts to the deepest subsea trenches, that face marine, subsea and oceanic engineers in their drive to understand the complexities of the world's oceans.

  • OCEANS 2006 - ASIA PACIFIC

  • OCEANS 2005 - EUROPE


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Periodicals related to Wind 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.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Energy Conversion, IEEE Transaction on

Research, development, design, application, construction, installation, and operation of electric power generating facilities (along with their conventional, nuclear, or renewable sources) for the safe, reliable, and economic generation of electrical energy for general industrial, commercial, public, and domestic consumption, and electromechanical energy conversion for the use of electrical energy


Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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Most published Xplore authors for Wind forecasting

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Xplore Articles related to Wind forecasting

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Impact of large wind penetration on power system operation

IEEE Transactions on Sustainable Energy, None

The State of California's ambitious renewable energy policies and energy incentives are the main drivers of renewable generation development occurring in the Pacific Northwest. The largest wind integration efforts are happening within the Bonneville Power Administrations (BPA) Balancing Area (BA). BPA is approaching a 60 percent wind penetration factor, which is possibly the largest in the world. Such a large ...


A Genetic Algorithm Based Economic Dispatch (GAED) with Environmental Constraint Optimisation

2011 46th International Universities' Power Engineering Conference (UPEC), 2011

The role of renewable energy in power systems is becoming more significant due to the increasing cost of fossil fuels and climate change concerns. However, the inclusion of Renewable Energy Generators (REG), such as wind power, has created additional problems for power system operators due to the variability and lower predictability of output of most REGs, with the Economic Dispatch ...


Extended geomagnetic storm forecast ahead of available solar wind measurements

Space Weather, 2012

We develop a technique to predict geomagnetic storm magnitudes (peak Dst values) several hours in advance using the first indications of extreme solar wind conditions, as well as an assumption of constant driving function V Bs. For larger storms with clear V Bs jump we predict lower and upper limits of expected peak Dst. For smaller storms and storms with ...


Renewable and Energy Storage in System Restoration

Power System Control Under Cascading Failures: Understanding, Mitigation, and System Restoration, None

This chapter addresses the most challenging problem of wind variability and uncertainty during the restoration period of a power system. It introduces an offline restoration planning tool that can be utilized by transmission system operators (TSOs) in the planning phase of restoration to effectively and securely harness the wind energy. System restoration consists of the following tasks: preparation and planning, ...


Relativistic electron flux forecast at geostationary orbit using Kalman filter based on multivariate autoregressive model

Space Weather, 2013

The relativistic electron population at MeV energy in the Van Allen radiation belts at geostationary orbit largely varies in association with solar wind disturbances. To provide alerts of possible satellite malfunctions due to deep-dielectric charging during relativistic electron enhancements, the National Institute of Information and Communications Technology, Japan, developed an algorithm to forecast daily >2 MeV electron flux variations at ...


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Educational Resources on Wind forecasting

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IEEE-USA E-Books

  • Impact of large wind penetration on power system operation

    The State of California's ambitious renewable energy policies and energy incentives are the main drivers of renewable generation development occurring in the Pacific Northwest. The largest wind integration efforts are happening within the Bonneville Power Administrations (BPA) Balancing Area (BA). BPA is approaching a 60 percent wind penetration factor, which is possibly the largest in the world. Such a large wind penetration imposes significant challenges on the transmission system operation for both the host and neighboring BAs. This paper discus some of those challenges.

  • A Genetic Algorithm Based Economic Dispatch (GAED) with Environmental Constraint Optimisation

    The role of renewable energy in power systems is becoming more significant due to the increasing cost of fossil fuels and climate change concerns. However, the inclusion of Renewable Energy Generators (REG), such as wind power, has created additional problems for power system operators due to the variability and lower predictability of output of most REGs, with the Economic Dispatch (ED) problem being particularly difficult to resolve. In previous papers we had reported on the inclusion of wind power in the ED calculations. The simulation had been performed using a system model with wind power as an intermittent source, and the results of the simulation have been compared to that of the Direct Search Method (DSM) for similar cases. In this paper we report on our continuing investigations into using Genetic Algorithms (GA) for ED for an independent power system with a significant amount of wind energy in its generator portfolio. The results demonstrate, in line with previous reports in the literature, the effectiveness of GA when measured against a benchmark technique such as DSM.

  • Extended geomagnetic storm forecast ahead of available solar wind measurements

    We develop a technique to predict geomagnetic storm magnitudes (peak Dst values) several hours in advance using the first indications of extreme solar wind conditions, as well as an assumption of constant driving function V Bs. For larger storms with clear V Bs jump we predict lower and upper limits of expected peak Dst. For smaller storms and storms with gradually increasing V Bs we predict Dst several hours ahead. The data from 1995–2010 were used to design the technique. The actual advance time of reliable forecasts (before the peak value is reached) is on average 5–6 hours, illustrating the realistic horizon of such “constant input” assumption. Larger storms are developing faster and thus are better predicted. False warnings (predictions more than 25% larger than the actual peak) occur in about 10% of events. The algorithm is implemented in real-time in Space Research Institute, Moscow (www.spaceweather.ru).

  • Renewable and Energy Storage in System Restoration

    This chapter addresses the most challenging problem of wind variability and uncertainty during the restoration period of a power system. It introduces an offline restoration planning tool that can be utilized by transmission system operators (TSOs) in the planning phase of restoration to effectively and securely harness the wind energy. System restoration consists of the following tasks: preparation and planning, black‐start unit (BSU) start‐up, transmission line energization, non‐black‐start unit (NBSUs) start‐up, and load pickup. Energy storages are viable solutions to accommodate wind power uncertainty and variability due to their flexible characteristics. Among different storage technologies, pumped storage hydro (PSH) unit is the most mature and economical option for large‐scale applications. In a distribution network, plug‐in hybrid electric vehicles (PHEVs) offer a promising solution for bottom‐up restoration. PHEVs can be utilized as fast‐response energy resources to buffer energy for grid stabilization and speed up distribution system recovery.

  • Relativistic electron flux forecast at geostationary orbit using Kalman filter based on multivariate autoregressive model

    The relativistic electron population at MeV energy in the Van Allen radiation belts at geostationary orbit largely varies in association with solar wind disturbances. To provide alerts of possible satellite malfunctions due to deep-dielectric charging during relativistic electron enhancements, the National Institute of Information and Communications Technology, Japan, developed an algorithm to forecast daily >2 MeV electron flux variations at geostationary orbit using a multivariate autoregressive model. We examined model accuracy by using solar wind speed, north-south component of the magnetic field, and dynamic pressure by inputting them as explanatory variates. The results showed that a combination of all three variates was most effective in reducing the prediction error. We focus here on the four-variate autoregressive model and handle it using the Kalman filter. The time evolution of the forecast is given by the conditional normal distribution: the peak value of forecast probability and the error range. The error range estimation is useful for users who utilize forecasts for operation of the satellites. We investigated the prediction efficiency of +1 day forecasts by evaluating forecast and observation data for a whole solar cycle (1999–2008) every 2 years. The prediction efficiency maintained at more than 69% throughout the solar cycle, although it depends on the phase of the cycle. Comparisons of the prediction efficiencies revealed that our model exhibited the best performance of conventional forecast models, particularly in solar active periods.

  • Further Results On 'techniques For Evaluating The Performance Of Models Of Radar Backscatter From The Ocean Surface: Suggestions For Their Improvement'

    None

  • Prediction wind energy potential using by wind data analysis in Bababurnu-Turkey

    In Turkey, the importance of the renewable energy resources, and the number of the renewable energy power generation plants are increasing. Wind power has a considerable share, and the investments on this sector are growing. The first step of the electricity generation from wind power process consists of feasibility and wind potential studies. In this study, the wind power map and wind potential analysis are conducted for Canakkale & Aegean Region of Turkey using WAsP software. Also the distribution of the ideal wind power over the topography of the area is analyzed.

  • Artificial Neural Network based wind speed & power forecasting in US wind energy farms

    Increasing power demand and global warming are forcing the world towards the power generation from renewable energy sources. But, wind power generation is highly uncertain and intermittent in its nature. To support grid integration of large capacity wind farms, wind power forecasting plays a vital role. Grid reliability is greatly increased with the assistance of accurate wind power forecasting. This paper describes the implementation of NARX Artificial neural network in wind speed & power forecasting with the historical data available from US wind farms.

  • Global ocean wind fields from SAR data using scatterometer models and neural networks

    Three weeks of ERS-2 SAR wave mode data, representing a total of 34000 SAR images of 5 km /spl times/ 10 km size, were utilized to verify wind retrieval algorithms on a global basis. Wind speeds are retrieved from calibrated SAR normalized radar cross section (NRCS) as well as uncalibrated SAR intensity images. In case of the calibrated NRCS the well-tested empirical C-band scatterometer (SCAT) model CMOD4 is used, which describes the dependency of the NRCS on wind. Therefore the SAR data are calibrated, which is performed by utilizing a subset of co-located ERS-2 SCAT data. SAR derived wind speeds are compared to co-located winds from the ERS-2 SCAT and model results of the European Centre for Medium-range Weather Forecast (ECMWF). The comparison to ERS-2 SCAT results in a correlation of 0.95 with a bias of -0.01 ms/sup -1/ and a root mean square error of 1.0 ms/sup -1/. In case of SAR intensities a Neural Network (NN) is used that allows to retrieve wind speeds from uncalibrated SAR images. Comparison of NN retrieved SAR wind speeds to ERS-2 SCAT wind speeds result in a correlation of 0.96 with a bias of -0.04 ms/sup -1/ and a root mean square error of 0.93 ms/sup -1/.

  • Study on power grid wind hazard precaution system based on PLS-MOS

    The severe wind is one of the greatest threatening natural disasters to power grid operation. According to the difficulties encountered in evaluation and forecasting of severe wind intensity, a severe wind statistical diagnosis model is proposed in this paper by using Partial least-squares and Model Output Statistics (PLS-MOS) methods. This model can accurately predict severe wind speed in the power grid region through interpolation smoothing to the forecast result of each weather site. Furthermore, combining with the wind- resistant design parameters of transmission tower, a power grid wind hazard precaution system based on electric power GIS (EPGIS) platform is supplied in order to remind the relevant operator for their decision-making and emergency treatment through real-time SMS and GIS location display. This system can further perfect the hazard prediction and precaution system, and improve the forecast ability of the severe wind hazard. It is of important practical significance and application value for power grid disaster prevention and reduction.



Standards related to Wind forecasting

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