Citations (30)
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Armando Jiménez Zavala & Arturo R. Messina. (2014) A Dynamic Harmonic Regression Approach to Power System Modal Identification and Prediction. Electric Power Components and Systems 42:13, pages 1474-1483.
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Arash Asrari, Amin Kargarian, Mohammad
Hossein Javidi, Mohammad Monfared & Saeed Lotfifard. (2013) A Stochastic Hybrid Method to Forecast Operating Reserve: Comparison of Fuzzy and Classical Set Theory. Electric Power Components and Systems 41:8, pages 806-823.
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Articles from other publishers (28)
Xiaoping Xiong & Guohua Qing. (2023) A hybrid day-ahead electricity price forecasting framework based on time series. Energy 264, pages 126099.
Crossref
Crossref
Sumit Saroha, Sanjeev Kumar Aggarwal & Preeti Rana. 2021. Forecasting in Mathematics - Recent Advances, New Perspectives and Applications. Forecasting in Mathematics - Recent Advances, New Perspectives and Applications.
Mahmut Kara, Kazim Baris Atici & Aydin Ulucan. 2021. Applied Operations Research and Financial Modelling in Energy. Applied Operations Research and Financial Modelling in Energy
101
124
.
Zita A. Vale, Tiago Pinto & Ali T. Al‐Awami. 2020. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems
775
818
.
Sumit Saroha & Sanjeev K. Aggarwal. (2020) Wind Power Forecasting Using Wavelet Transform and General Regression Neural Network for Ontario Electricity Market. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13:1, pages 16-26.
Crossref
Crossref
Dhananjay Kumar, Hitesh Dutt Mathur, Surekha Bhanot & Ramesh C. Bansal. (2019) Frequency regulation in islanded microgrid considering stochastic model of wind and PV. International Transactions on Electrical Energy Systems 29:9.
Crossref
Crossref
Mrinal Patil, Surekha R. Deshmukh & Ritu Agrawal. (2017) Electric power price forecasting using data mining techniques. Electric power price forecasting using data mining techniques.
Harmanjot Singh Sandhu, Liping Fang & Ling Guan. (2016) Forecasting day-ahead price spikes for the Ontario electricity market. Electric Power Systems Research 141, pages 450-459.
Crossref
Crossref
S. Anbazhagan. (2016) Forecasting models for vertically bundled electricity market prices — A review and future trend. International Journal of Energy and Statistics 04:03, pages 1650011.
Crossref
Crossref
Harmanjot Singh Sandhu, Liping Fang & Ling Guan. 2016. Smart City 360°. Smart City 360°
431
442
.
Kaijian He, Lean Yu & Ling Tang. (2015) Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology. Energy 91, pages 601-609.
Crossref
Crossref
Olga Y. Uritskaya & Vadim M. Uritsky. (2015) Predictability of price movements in deregulated electricity markets. Energy Economics 49, pages 72-81.
Crossref
Crossref
Aristeidis Samitas & Aggelos Armenatzoglou. (2014) Regression tree model versus Markov regime switching: a comparison for electricity spot price modelling and forecasting. Operational Research 14:3, pages 319-340.
Crossref
Crossref
Harmanjot Singh Sandhu, Liping Fang & Ling Guan. (2014) Forecasting day-ahead electricity prices using data mining and neural network techniques. Forecasting day-ahead electricity prices using data mining and neural network techniques.
Qing Zhu, Kaijian He, Yingchao Zou & Kin Keung Lai. (2014) Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model. The Scientific World Journal 2014, pages 1-10.
Crossref
Crossref
S. Anbazhagan & Narayanan Kumarappan. 2013. Swarm, Evolutionary, and Memetic Computing. Swarm, Evolutionary, and Memetic Computing
499
510
.
Mingli Lei & Zuren Feng. (2012) A proposed grey model for short-term electricity price forecasting in competitive power markets. International Journal of Electrical Power & Energy Systems 43:1, pages 531-538.
Crossref
Crossref
S. Anbazhagan & N. Kumarappan. (2012) Day-ahead deregulated electricity market price classification using neural network input featured by DCT. International Journal of Electrical Power & Energy Systems 37:1, pages 103-109.
Crossref
Crossref
S. Anbazhagan & N. Kumarappan. (2012) A neural network approach to day-ahead deregulated electricity market prices classification. Electric Power Systems Research 86, pages 140-150.
Crossref
Crossref
Georgiana Ifrim, Barry O’Sullivan & Helmut Simonis. 2012. Principles and Practice of Constraint Programming. Principles and Practice of Constraint Programming
957
972
.
Hamid Zareipour. 2012. Handbook of Networks in Power Systems I. Handbook of Networks in Power Systems I
89
121
.
Daniele Menniti, Nadia Scordino & Nicola Sorrentino. (2011) Forecasting next-day electricity prices by a neural network approach. Forecasting next-day electricity prices by a neural network approach.
Hamidreza Zareipour, Arya Janjani, Henry Leung, Amir Motamedi & Antony Schellenberg. (2011) Classification of Future Electricity Market Prices. IEEE Transactions on Power Systems 26:1, pages 165-173.
Crossref
Crossref
Jiang Tiejun & Zhang Huaiqiang. (2010) Study on Cost Prediction Modeling with SVM Based on Sample-Weighted. Study on Cost Prediction Modeling with SVM Based on Sample-Weighted.
Xuran Ivan Li, C W Yu, Shuyun Ren, Ke Meng & Guozhong Liu. (2010) Day-ahead electricity market price forecasting based on Panel Cointegration. Day-ahead electricity market price forecasting based on Panel Cointegration.
A.K. Bhardwaj, R.C. Bansal, R.K. Saket & A.K. Srivastava. (2010) Electric Power Demand Forecasting of KAVAL Cities. International Journal of Electrical and Power Engineering 4:2, pages 85-89.
Crossref
Crossref
Jiang Tiejun, Zhang Huaiqiang & Bian Jinlu. (2009) An Economic Analysis Method of Weapon System Based on Weighted Feature Selection. An Economic Analysis Method of Weapon System Based on Weighted Feature Selection.
Jiang Tiejun, Zhang Huaiqiang & Bian Jinlu. (2009) Study on Cost Forecasting Modeling Framework Based on KPCA & SVM and a Joint Optimization Method by Particle Swarm Optimization. Study on Cost Forecasting Modeling Framework Based on KPCA & SVM and a Joint Optimization Method by Particle Swarm Optimization.