Jianzhou Wang

Electrical and Electronic Engineering · 2010–2014

A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 44 citations into it; #13,312 of 16,539 by trust here, #5,309 by citations
• Management Science and Operations Research — 26 citations into it; #10,517 of 11,946 by trust here, #2,065 by citations
• Renewable Energy, Sustainability and the Environment — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Statistics and Probability — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Jianzhou Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Fang-Mei Tseng
2. James W. Taylor
3. Erkan Erdogdu
4. Diyar Akay
5. H. Amusa
6. Gwo-Hshiung Tzeng
7. Mohamed A. Mohandes

Who trusts Jianzhou Wang overall

1. Aneeque A. Mir
2. Dao H. Vu

Papers from Jianzhou Wang's perspective

Ordered by how strongly the researchers Jianzhou Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Time series analysis, forecasting and control
2. Electricity Demand Analysis Using Cointegration and ARIMA Modelling: A case study of Turkey
3. A comparative study of linear and nonlinear models for aggregate retail sales forecasting
4. Day-ahead wind speed forecasting using f-ARIMA models
5. Forecasting wind with neural networks
6. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
7. An Advanced Statistical Method for Wind Power Forecasting
8. Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting
9. Support vector machines for wind speed prediction
10. Cosine window-based boundary processing method for EMD and its application in rubbing fault diagnosis

Their papers

• Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model (2012) — 510 citations
• Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China (2012) — 237 citations
• Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development (2014) — 159 citations
• Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting (2014) — 511 citations
• Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model (2013) — 87 citations
• A case study on a hybrid wind speed forecasting method using BP neural network (2011) — 330 citations
• A seasonal hybrid procedure for electricity demand forecasting in China (2011) — 115 citations
• Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling (2010) — 155 citations