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Information Journal Paper

Title

TECHNOLOGY FORECASTING RESRARCHES IN SELECTED AREA OF SOLAR ENERGY: USE THE PATENT ANALYSIS ANALYSIS AND ARTIFICIAL NEURAL NETWORK

Pages

  149-171

Abstract

TECHNOLOGY FORECASTING is planned starting point and is considered as management tool. Forecasting directly related to the future. Aim of TECHNOLOGY FORECASTING is provide usful information to IT management. SOLAR ENERGY is a renewable energy technology is generally of two types: on is thermal system and another is photovoltaic (solar electricity). Due to increasing and countries to produce electricity and faced with shortage of resource, the focus of this research on forecasting photovoltaic technology. In this study in order to Forecasting technology researches in SOLAR ENERGY area, extracted patents from USPTO (united state patent and trademark office) during the years 1985 to 2016, were analyzed using the PATENT ANALYSIS. Then using the ARTIFICIAL NEURAL NETWORK clustering method and as well as combined analysis covered and not covered, research gaps were analyzed. results show that the future of photovoltaic technology research towards third generation technology (organic matter) and also focuses on environmental parameters and their impact on performance photovoltaic systems.

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    APA: Copy

    BAYANLOO, ZOHRE, & ZARE AHMADABADI, HABIB. (2016). TECHNOLOGY FORECASTING RESRARCHES IN SELECTED AREA OF SOLAR ENERGY: USE THE PATENT ANALYSIS ANALYSIS AND ARTIFICIAL NEURAL NETWORK. JOURNAL OF TECHNOLOGY DEVELOPMENT MANAGEMENT, 3(4 ), 149-171. SID. https://sid.ir/paper/260205/en

    Vancouver: Copy

    BAYANLOO ZOHRE, ZARE AHMADABADI HABIB. TECHNOLOGY FORECASTING RESRARCHES IN SELECTED AREA OF SOLAR ENERGY: USE THE PATENT ANALYSIS ANALYSIS AND ARTIFICIAL NEURAL NETWORK. JOURNAL OF TECHNOLOGY DEVELOPMENT MANAGEMENT[Internet]. 2016;3(4 ):149-171. Available from: https://sid.ir/paper/260205/en

    IEEE: Copy

    ZOHRE BAYANLOO, and HABIB ZARE AHMADABADI, “TECHNOLOGY FORECASTING RESRARCHES IN SELECTED AREA OF SOLAR ENERGY: USE THE PATENT ANALYSIS ANALYSIS AND ARTIFICIAL NEURAL NETWORK,” JOURNAL OF TECHNOLOGY DEVELOPMENT MANAGEMENT, vol. 3, no. 4 , pp. 149–171, 2016, [Online]. Available: https://sid.ir/paper/260205/en

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