Topic · Grey System Theory Applications
Most cited papers in Grey System Theory Applications
What are the most cited papers in Grey System Theory Applications?
The most cited paper in Grey System Theory Applications is "Control problems of grey systems" (Deng Julong, 1982), with 4,513 citations. Next come "Statistical Analysis of Circular Data." (2,174) and "A survey of index decomposition analysis in energy and environmental studies" (1,262).
Showing 50 of 100 papers. Every paper with more than 301 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Control problems of grey systems Deng Julong · Systems & Control Letters | Mar 1982 | 4,513 |
| 2 | Statistical Analysis of Circular Data. Nicholas Lange, N. I. Fisher · Journal of the American Statistical Association | Jun 1995 | 2,174 |
| 3 | A survey of index decomposition analysis in energy and environmental studies B.W. Ang, F.Q. Zhang · Energy | Dec 2000 | 1,262 |
| 4 | The use of grey relational analysis in solving multiple attribute decision-making problems Yiyo Kuo, Taho Yang, Guan‐Wei Huang · Computers & Industrial Engineering | 11 Jan 2008 | 1,120 |
| 5 | A review on applications of ANN and SVM for building electrical energy consumption forecasting Ahmad Sukri Ahmad, Mohammad Yusri Hassan, Md Pauzi Abdullah et al. · Renewable and Sustainable Energy Reviews | 22 Feb 2014 | 966 |
| 6 | Integrating sustainability into supplier selection with grey system and rough set methodologies Chunguang April Bai, Joseph Sarkis · International Journal of Production Economics | 27 Nov 2009 | 837 |
| 7 | A regression-based approach to short-term system load forecasting Alex D. Papalexopoulos, Tim Hesterberg · IEEE Transactions on Power Systems | 1990 | 827 |
| 8 | Grey system theory-based models in time series prediction Erdal Kayacan, Baris Ulutas, Okyay Kaynak · Expert Systems with Applications | 9 Aug 2009 | 790 |
| 9 | Incremental Support Vector Learning for Ordinal Regression Bin Gu, Victor S. Sheng, Keng Yeow Tay et al. · IEEE Transactions on Neural Networks and Learning Systems | 12 Aug 2014 | 712 |
| 10 | Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances Abbas Khosravi, Saeid Nahavandi, Douglas Creighton et al. · IEEE Transactions on Neural Networks | 3 Aug 2011 | 704 |
| 11 | Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method Shouxiang Wang, Na Zhang, Lei Wu et al. · Renewable Energy | 6 Apr 2016 | 682 |
| 12 | Short-term load forecasting via ARMA model identification including non-gaussian process considerations Shyh‐Jier Huang, Kuang‐Rong Shih · IEEE Transactions on Power Systems | May 2003 | 679 |
| 13 | Predicting solar radiation at high resolutions: A comparison of time series forecasts Gordon E. Reikard · Solar Energy | 25 Sep 2008 | 653 |
| 14 | R 1 -PCA Chris H. Q. Ding, Ding Xuan Zhou, Xiaofeng He et al. | 2006 | 645 |
| 15 | The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves C. Radhakrishna Rao · Biometrika | Dec 1965 | 637 |
| 16 | A Framework for Robust Subspace Learning Fernando N. de la Torre, Michael J. Black · International Journal of Computer Vision | 6 Jun 2003 | 627 |
| 17 | Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil Hsiao-Tien Pao, Chung-Ming Tsai · Energy | 13 Mar 2011 | 626 |
| 18 | Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting Aasim, Sri Niwas Singh, Abheejeet Mohapatra · Renewable Energy | 14 Jan 2019 | 625 |
| 19 | Grey system model with the fractional order accumulation Lifeng Wu, Sifeng Liu, Ligen Yao et al. · Communications in Nonlinear Science and Numerical Simulation | 5 Dec 2012 | 625 |
| 20 | Grey literature in meta-analyses of randomized trials of health care interventions Sally Hopewell, Steve J McDonald, Mike J Clarke et al. · Cochrane Database of Systematic Reviews | 3 Apr 2007 | 596 |
| 21 | Robust Regression Shrinkage and Consistent Variable Selection Through the LAD-Lasso Hansheng Wang, Guodong Li, Guohua Jiang · Journal of Business and Economic Statistics | 18 Jun 2007 | 579 |
| 22 | Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model Zhenhai Guo, Weigang Zhao, Haiyan Lu et al. · Renewable Energy | 14 Jul 2011 | 527 |
| 23 | Short-term hourly load forecasting using time-series modeling with peak load estimation capability Nima Amjady · IEEE Transactions on Power Systems | 2001 | 516 |
| 24 | Discrete grey forecasting model and its optimization Naiming Xie, Sifeng Liu · Applied Mathematical Modelling | 28 Jan 2008 | 511 |
| 25 | Searching and synthesising ‘grey literature’ and ‘grey information’ in public health: critical reflections on three case studies Jean M Adams, Frances C Hillier-Brown, Helen J. Moore et al. · Systematic Reviews | 29 Sep 2016 | 496 |
| 26 | A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines Ervin Čeperić, Vladimir Čeperić, Adrijan Barić · IEEE Transactions on Power Systems | 9 Jul 2013 | 493 |
| 27 | Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines Fazıl Kaytez, Müslüm Cengiz Taplamacıoğlu, Ertuğrul Çam et al. · International Journal of Electrical Power & Energy Systems | 24 Dec 2014 | 491 |
| 28 | A comparison of univariate methods for forecasting electricity demand up to a day ahead James Welch. Taylor, Lilian M. de Menezes, Patrick McSharry · International Journal of Forecasting | 22 Nov 2005 | 489 |
| 29 | Short-Term Load Forecasting for the Holidays Using Fuzzy Linear Regression Method Kibum Song, Y.-S. Baek, Dug Hun Hong et al. · IEEE Transactions on Power Systems | 31 Jan 2005 | 486 |
| 30 | A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series Seçkin Karasu, Aytaç Altan, Stelios D. Bekiros et al. · Energy | 30 Aug 2020 | 480 |
| 31 | Review on probabilistic forecasting of photovoltaic power production and electricity consumption Dennis van der Meer, Joakim Widén, Joakim Munkhammar · Renewable and Sustainable Energy Reviews | 10 Jun 2017 | 476 |
| 32 | A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm Hongze Li, Sen Guo, Chunjie Li et al. · Knowledge-Based Systems | 29 Aug 2012 | 476 |
| 33 | Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis Nihat Tosun · The International Journal of Advanced Manufacturing Technology | 11 May 2005 | 471 |
| 34 | Energy consumption in China: past trends and future directions Paul Crompton, Yanrui Wu · Energy Economics | 16 Dec 2004 | 466 |
| 35 | A grey-based decision-making approach to the supplier selection problem Guodong Li, Daisuke Yamaguchi, Masatake Nagai · Mathematical and Computer Modelling | 20 Dec 2006 | 457 |
| 36 | Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm Da Liu, Dongxiao Niu, Hui Wang et al. · Renewable Energy | 12 Sep 2013 | 454 |
| 37 | Grey prediction with rolling mechanism for electricity demand forecasting of Turkey Diyar Akay, Mehmet Atak · Energy | 17 Jan 2007 | 445 |
| 38 | Short-term load forecasting using lifting scheme and ARIMA models Cheng‐Ming Lee, Chia-Nan Ko · Expert Systems with Applications | 14 Nov 2010 | 442 |
| 39 | Accounting for Autocorrelation in Detecting Mean Shifts in Climate Data Series Using the Penalized Maximal t or F Test Xiaolan L. Wang · Journal of Applied Meteorology and Climatology | 31 Jan 2008 | 440 |
| 40 | Ensemble methods for wind and solar power forecasting—A state-of-the-art review Ye Ren, Ponnuthurai Nagaratnam Suganthan, Nandiraju Venkata Srikanth · Renewable and Sustainable Energy Reviews | 22 May 2015 | 435 |
| 41 | Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods Erick Meira, Fernando Luiz Cyrino Oliveira · Energy | 12 Dec 2017 | 428 |
| 42 | Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization Jie Chen, Guo‐Qiang Zeng, Wuneng Zhou et al. · Energy Conversion and Management | 6 Apr 2018 | 425 |
| 43 | A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting Abdollah Kavousi‐Fard, Haidar Samet, Fatemeh Marzbani · Expert Systems with Applications | 12 Apr 2014 | 416 |
| 44 | The crude oil market and the gold market: Evidence for cointegration, causality and price discovery Yue‐Jun Zhang, Yi‐Ming Wei · Resources Policy | 8 Jun 2010 | 412 |
| 45 | Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components L. Benali, Gilles Notton, Alexis Fouilloy et al. · Renewable Energy | 17 Aug 2018 | 406 |
| 46 | Short-Term Load Forecasting Based on an Adaptive Hybrid Method Shuai Fan, L.‐W. Antony Chen · IEEE Transactions on Power Systems | 31 Jan 2006 | 406 |
| 47 | Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model Erasmo Cadenas, Wilfrido Rivera · Renewable Energy | 22 May 2010 | 406 |
| 48 | Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model Chaoqing Yuan, Sifeng Liu, Zhigeng Fang · Energy | 24 Feb 2016 | 397 |
| 49 | Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform Zihan Chang, Yang Zhang, Wenbo Chen · Energy | 22 Jul 2019 | 391 |
| 50 | SELECTION OF THE EFFECTIVE DWELLING HOUSE WALLS BY APPLYING ATTRIBUTES VALUES DETERMINED AT INTERVALS Edmundas Kazimieras Zavadskas, Artūras Kaklauskas, Zenonas Turskis et al. · Journal of Civil Engineering and Management | 22 Jun 2008 | 389 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.