Mr. Jianzong Wang Profile

Jianzong Wang

at Huazhong Univ of Science and Technology

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 22 February 2012 Paper

A distributed big data storage and data mining framework for solar-generated electricity quantity forecasting

Jianzong Wang, Yanjun Chen, Rui Hua, Peng Wang, Jia Fu

Proceedings Volume 8333, 83330S (2012) https://doi.org/10.1117/12.919640

KEYWORDS: Photovoltaics, Data storage, Solar cells, Databases, Data mining, Solar energy, Neural networks, Evolutionary algorithms, Manufacturing, Data processing

Read Abstract +

Photovoltaic is a method of generating electrical power by converting solar radiation into direct current electricity using semiconductors that exhibit the photovoltaic effect. Photovoltaic power generation employs solar panels composed of a number of solar cells containing a photovoltaic material. Due to the growing demand for renewable energy sources, the manufacturing of solar cells and photovoltaic arrays has advanced considerably in recent years. Solar photovoltaics are growing rapidly, albeit from a small base, to a total global capacity of 40,000 MW at the end of 2010. More than 100 countries use solar photovoltaics. Driven by advances in technology and increases in manufacturing scale and sophistication, the cost of photovoltaic has declined steadily since the first solar cells were manufactured. Net metering and financial incentives, such as preferential feed-in tariffs for solar-generated electricity; have supported solar photovoltaics installations in many countries. However, the power that generated by solar photovoltaics is affected by the weather and other natural factors dramatically. To predict the photovoltaic energy accurately is of importance for the entire power intelligent dispatch in order to reduce the energy dissipation and maintain the security of power grid. In this paper, we have proposed a big data system--the Solar Photovoltaic Power Forecasting System, called SPPFS to calculate and predict the power according the real-time conditions. In this system, we utilized the distributed mixed database to speed up the rate of collecting, storing and analysis the meteorological data. In order to improve the accuracy of power prediction, the given neural network algorithm has been imported into SPPFS.By adopting abundant experiments, we shows that the framework can provide higher forecast accuracy-error rate less than 15% and obtain low latency of computing by deploying the mixed distributed database architecture for solar-generated electricity.

Proceedings Article | 24 October 2009 Paper

Performance analysis of data deduplication technology for storage

Jianzong Wang, Hao Huang, Jia Fu, Peng Wang, Jun Liu, Yaodong Yang

Proceedings Volume 7517, 751711 (2009) https://doi.org/10.1117/12.847014

KEYWORDS: Sensor fusion, Data storage, Performance modeling, Analytical research, Data backup, Data processing, Data centers, System integration, Optoelectronics, Computer science

Read Abstract +

Proceedings Article | 20 March 2009 Paper

A virtual network computer's optical storage virtualization scheme

Jianzong Wang, Huaixiang Hu, Jiguang Wan, Peng Wang

Proceedings Volume 7125, 712516 (2009) https://doi.org/10.1117/12.822626

KEYWORDS: Optical storage, Data storage, Computer networks, Computing systems, Data storage servers, Embedded systems, Optical networks, Network architectures, Computer architecture, System on a chip

Read Abstract +

Proceedings Article | 20 March 2009 Paper

Design and implementation of a channel decoder with LDPC code

Diqing Hu, Peng Wang, Jianzong Wang, Tianquan Li

Proceedings Volume 7125, 712520 (2009) https://doi.org/10.1117/12.822646

KEYWORDS: Control systems, Computer programming, Data storage, Modulation, Optical discs, Optical storage, Video, Patents, Servomechanisms, Field programmable gate arrays

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years