Proactive Error Detection System
After 7 days of machine learning, the system can start forecasting the normal generation curve, and proactively notify the designated maintenance personnel via mobile phone or email at the moment the error is detected and diagnosed.
By using AI machine learning to estimate the power generation and voltage status of each device in the power plant, the system may diagnose whether the equipment has inverter failure, fuse burnout, heat drop, shading, etc., and send reports to facilitate early repair, adjustment, or other improvement.
This system has been applied in more than 300 solar photovoltaic sites across Taiwan. The performance results from 2018 to 2020 showed that the accuracy rate of the default system is 98.6% and the error type correctness is 94%. The power generation of the sites applying the system has increased by around 4.7%, and reduced the transportation cost of maintenance by 41%.
The operational effectiveness of this intelligent debugging, diagnosis and dispatching system has been proven in practice, that the team has been invited to present at international technology research forums and trade shows in the industry during 2019-2021.
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This is the informative platform built by Bureau of Energy(BOE), the Ministry of Economic Affairs(MOEA), that will help you quickly understand the process, policies, FAQ, local agencies and other information of solar power generation system in Taiwan. This website also provides easy tool for calculating the general profits of installing PV system.
Provides the latest solar energy policy announcements, market chances, technology development, business briefings and other information. It has various professional committees to promote policy negotiations and assist members in exploring business opportunities domestically and abroad.
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Established in September 2018, aiming to promote the policy development of the domestic renewable energy certificate (T-REC) system and the transaction between the suppliers and off-takers. Members include parties of different fields, like PV and wind power industry, manufacturing industry, financial institutes, consulting industry, biotechnology industry, and related academic and research institutions.
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