J
Jiaming Li
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 85
Citations - 2342
Jiaming Li is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: HVAC & Fault detection and isolation. The author has an hindex of 23, co-authored 76 publications receiving 1652 citations. Previous affiliations of Jiaming Li include Chinese Academy of Sciences.
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Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective.
TL;DR: The inflow of FDI was found to have reduced waste soot and dust pollution to a certain extent, while it increased the degree of wastewater and sulfur dioxide pollution, thereby confirming the Pollution Heaven Hypothesis and Pollution Halohypothesis.
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Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China
TL;DR: In this paper, the authors investigated the impacts of three dominant direct factors: total energy consumption (EC), energy structure (ES) and treatment technology (TT) on sulfur dioxide (SO2) emissions in China during 1995-2014 using the logarithmic mean divisia index method.
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Machine learning for solar irradiance forecasting of photovoltaic system
TL;DR: The experimental results show that the machine learning based forecasting algorithms can precisely predict future 5–30 min solar irradiance under different weather conditions.
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Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
Kamran Shaukat,Suhuai Luo,Vijay Varadharajan,Ibrahim A. Hameed,Shan Chen,Dongxi Liu,Jiaming Li +6 more
TL;DR: A brief review of different machine learning techniques to get to the bottom of all the developments made in detection methods for potential cybersecurity risks, and the first attempt to give a comparison of the time complexity of commonly used ML models in cybersecurity.
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Optimal sizing of grid-connected photovoltaic battery systems for residential houses in Australia
TL;DR: The results show that jointly optimizing the sizing of battery and photovoltaic systems can significantly reduce electricity imports and the cost of electricity for the household.