Renewable energy data analysis and prognosis


This project aims at investigating different algorithms for statistical analysis and prognosis of

renewable energy data such as wind speed and solar irradiance data .

Project Description:

Renewable energy such as wind and solar is deemed to play a key role in combating climate change and

energy crisis. In order to investigate the potentials and properties of renewable generations in Hong

Kong, it is necessary to analyze in details the statistics of historical data. On the other hand, to enable

smooth grid integration of renewable, known beforehand the possible renewable generation is essential

to sched-ule power system operation, though renewables are notorious for their high intermittence and

limited pre-dictability. In this project, the student is required to carry out detailed analysis of wind or

solar irradiance data of Hong Kong (and/or elsewhere), and investigate the feasibility and performance

of applying several time series forecasting models for solar or wind generation prognosis.

Квалификация: Статистический анализ, Язык программирования R, Matlab and Mathematica

О работодателе:
( 4 отзыв(-а, -ов) ) HONG KONG, Hong Kong

ID проекта: #24692620



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