Conferences related to Solar Power

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


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


2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


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Periodicals related to Solar Power

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Advanced Packaging, IEEE Transactions on

The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.


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.


Circuits and Systems Magazine, IEEE


Components and Packaging Technologies, IEEE Transactions on

Component parts, hybrid microelectronics, materials, packaging techniques, and manufacturing technology.


Electron Devices, IEEE Transactions on

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronics devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


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Most published Xplore authors for Solar Power

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Xplore Articles related to Solar Power

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Algorithmic realization of short-term solar power plant output forecasting

2017 IEEE II International Conference on Control in Technical Systems (CTS), 2017

The rapid growth of solar power plants, integrated into United Power System of Russia (UPS), keeps stable over the last several years. The high percentage of solar power plants in the power system inevitably leads to significant increase of power generation output uncertainty, affecting the high-voltage power network. The reserve capacities, which are allocated on conventional power plants to cover ...


Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis

2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2019

The rapid increase in solar power plant installed capacity leads to considerable difficulties in terms of power system operation and control, resulting from highly stochastic nature of solar energy harvesting. The paper considers the problem of day-ahead solar power plant output forecasting, based on the meteorological data. The improvement of solar power plant output prediction will significantly simplify power system ...


Solar power forecasting using a hybrid EMD-ELM method

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), 2017

In present scenario the energy system face various challenges as the demand for energy is increasing significantly and the resources in terms of fossil fuels are limited, need for renewable resources have became very much vital at present. Accurate and reliable solar power forecasting is essential for the legitimate functioning of the power system. Given momentous uncertainties involved in solar ...


Identification of bad solar power generation data

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017

In this paper, a novel method has been presented for the bad data identification of the data recovery process from a solar power measurement data set. Due to failures in solar power measurement logging devices, a long period of solar power generation data might necessary to be recovered. In order to ensure that the recovered data is the correct one, ...


Characterization of the Solar Power Impact in the Grid

2007 International Conference on Clean Electrical Power, 2007

The aim of this analysis is to characterize the behaviour of the solar power in order to predict the response that different levels of penetration of PV installations might have in the grid. In order to obtain the most realistic approach, measurements from existing PV installations in Belgium have been used. These measurements are used to create new values for ...


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Educational Resources on Solar Power

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IEEE-USA E-Books

  • Algorithmic realization of short-term solar power plant output forecasting

    The rapid growth of solar power plants, integrated into United Power System of Russia (UPS), keeps stable over the last several years. The high percentage of solar power plants in the power system inevitably leads to significant increase of power generation output uncertainty, affecting the high-voltage power network. The reserve capacities, which are allocated on conventional power plants to cover the active power imbalance, should be as less as possible to improve economic efficiency of solar power plants implementation. For this reason, solar power plant operation forecasting becomes an urgent issue in power system and electric energy markets operation. The authors present the structure and mathematical description of the model of solar power plant operation short-term forecasting, which will give the possibility to assess the mean hourly value of solar power plant generation capacity. All the calculations are made for real solar power plant.

  • Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis

    The rapid increase in solar power plant installed capacity leads to considerable difficulties in terms of power system operation and control, resulting from highly stochastic nature of solar energy harvesting. The paper considers the problem of day-ahead solar power plant output forecasting, based on the meteorological data. The improvement of solar power plant output prediction will significantly simplify power system operation mode planning taking into market procedures and active power generation reserves allocation. As a case study the authors use meteorological data for a real operated solar power plant. As a results of regression modelling the statistical significance of the meteorological parameters was analyzed. The optimal mathematical formulation of regression model was provided. In addition, the paper gives the idea of empirical clasterization approach, providing significant improvement of prediction accuracy. The results of the verification on real data allow deciding on the applicability of the proposed methods in industrial operation.

  • Solar power forecasting using a hybrid EMD-ELM method

    In present scenario the energy system face various challenges as the demand for energy is increasing significantly and the resources in terms of fossil fuels are limited, need for renewable resources have became very much vital at present. Accurate and reliable solar power forecasting is essential for the legitimate functioning of the power system. Given momentous uncertainties involved in solar power generation due to variation of temperature and irradiance, forecasting provides a unique solution for the uncertainties and variability's in solar data. In this paper a forecasting method has been mentioned that is contingent on a hybrid empirical mode decomposition (EMD) and Extreme Learning Machine (ELM). The non stationary time series is further decomposed into distinct intrinsic mode functions (IMF). A short term forecasting is also carried out in this work to prove the accuracy of the given model. This model is implemented in MATLAB/SCRIPT environment.

  • Identification of bad solar power generation data

    In this paper, a novel method has been presented for the bad data identification of the data recovery process from a solar power measurement data set. Due to failures in solar power measurement logging devices, a long period of solar power generation data might necessary to be recovered. In order to ensure that the recovered data is the correct one, the daily solar generation curve has to be investigated. Due to the high data amount, this control process has to be done automatically. It is observed that the daily solar generation curve is much similar to cosine wave. In this study, the recovered data is compared to reference cosine wave and it is aimed to identify the suspicious data group. In this context, this work is based on the normalized residuals test.

  • Characterization of the Solar Power Impact in the Grid

    The aim of this analysis is to characterize the behaviour of the solar power in order to predict the response that different levels of penetration of PV installations might have in the grid. In order to obtain the most realistic approach, measurements from existing PV installations in Belgium have been used. These measurements are used to create new values for solar power series in order to simulate the random character of the solar behaviour. A Markov chains based algorithm is created to generate simulated solar power series.

  • Maximizing the solar power by combine cycle: An experimental study on miniature solar power station

    This article describes a method to increase the overall power output of a small scale solar power station by introducing combine cycle. Here combine cycle utilizes the concentrated sun rays in terms of heat to produce additional electricity. This research begins with constructing a miniaturized solar power station having six solar panels with individual sun tracking system designed with Arduino Uno; a microcontroller board based on Atmega328P; in order to track the position of the sun for getting the maximum direct sunlight on the solar panels. Solar panels are established in a circular shape around a combine cycle system with a mirror on the top which helps to reflect the concentrated sun light to the water reservoir. The concentrated sunrays heat up and evaporate diethyl ether only at 34.6°C which flow through a turbine and generate electricity in a generator combined with the turbine. It is observed from this research work that the overall generated power increases by 61.76% with the introduction of solar tracker as well as the combined cycle. This study would expose the additional frontiers for the researchers as well as the practitioners to produce more electricity with same amount of solar panels by introducing solar tracking system and combine cycle.

  • Potentials, peculiarities and prospects of solar power generation on the railway premises

    In this paper, the potentials, peculiarities and prospects of solar power generation system to the platform roofs of the railway station will be discussed. Based on the rough estimation, the total potential of our company for platform roof PV system is amount to be more than 100MW. While the railway premises have such a high potential for solar power introduction, they have also difficulties compared to the other mega-solar systems utilizing the vast extent of land and utility power grid. As future prospects, the realization of solar generation system with lithium ion batteries for local station called “zero-emission station” will be also shown in this paper.

  • Broad-Time-Horizon Solar Power Prediction and PV Performance Degradation Research at the University of Arizona

    An overview of University of Arizona cooperative research efforts towards enhanced solar power prediction over PV system operational lifetime is provided. Integration of established research programs in power forecasting (including irradiance and irradiance-to-power modeling) and in device and system-level performance degradation studies offer new opportunities to address solar power prediction needs over short- and long-term time horizons.

  • Design of a mini solar power system

    This paper presents the design of mini solar power system. The mini solar power system is designed based on photovoltaic cell generation and 12V direct current system. The main part of the solar power system is the charge controller that is analysed and presented in this paper. The overall system will be constructed for measurement and testing.

  • A review of data mining and solar power prediction

    Solar energy is one of the clean and renewable energy sources that are mostly available in the world. As a result of this situation, there are many research studies done on the solar energy in order to get the maximum solar radiation during the day time, to estimate the solar power generation and to increase the efficiency of solar systems. In this paper, especially, a review of data mining methods employed for solar power prediction in the literature is introduced briefly. Input data, recording intervals, the number of training and test datasets of each startificial neural networksudy are also considered in the review process. It is shown that artificial neural networks are the most preferred methods in order to predict solar power generation.



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