Shuyu Li
Economics and Econometrics · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 66 citations into it; #21,258 of 23,481 by trust here, #13,168 by citations
- Renewable Energy, Sustainability and the Environment — 50 citations into it
- Pollution — 28 citations into it
- Electrical and Electronic Engineering — 26 citations into it; #14,934 of 16,539 by trust here, #11,641 by citations
- Environmental Engineering — 20 citations into it
Whom Shuyu Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diyar Akay
- Qiang Wang
- M. Song
- M. Atak
- Qiang Wang
- Durdu Ömer Faruk
- N. Apergis
- Shuhong Wang
- Ujjwal Kumar
- James E. Payne
Who trusts Shuyu Li overall
Papers from Shuyu Li's perspective
Ordered by how strongly the researchers Shuyu Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Time series analysis, forecasting and control
- Correlative and mechanistic models of species distribution provide congruent forecasts under climate change
- Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India
- To reduce energy consumption and to maintain rapid economic growth: Analysis of the condition in China based on expended IPAT model
- A hybrid neural network and ARIMA model for water quality time series prediction (Engineering applications of artificial intelligence)
- Forecasting energy consumption using a grey model improved by incorporating genetic programming
- Grey system theory-based models in time series prediction (Expert systems with applications)
- Day-ahead electricity price forecasting using the wavelet transform and ARIMA models (IEEE Transactions on Power Systems)
- Effective policies for renewable energy--the example of China's wind power--lessons for China's photovoltaic power
- Energy policies for managing China’s carbon emission
Their papers
- Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries (2020) — 142 citations
- Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques (2018) — 181 citations
- Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model (2018) — 125 citations
- Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model (2017) — 71 citations