A Neural-Network-Based Method of Modeling Electric Arc Furnace Load for Power Engineering Study

[IEEE IEEE Power Engineering Society Gen

[IEEE IEEE Power Engineering Society General Meeting, 2005 - San Francisco, CA, USA (June 12-16, 2005)] IEEE Power Engineering Society General Meeting, 2005 - Modeling the DC electric arc furnace based on chaos theory and neural network

✍ Fenghua Wang, ; Zhijian Jin, ; Zishu Zhu, ; Xusheng Wang, 📂 Article 📅 2005 🏛 IEEE ⚖ 416 KB

Neural network-based approach for early

Neural network-based approach for early detection of cascading events in electric power systems

✍ Rigatos, G.; Siano, P.; Piccolo, A. 📂 Article 📅 2009 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 577 KB

[IEEE 2010 10th Symposium on Neural Netw

[IEEE 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2010) - Belgrade, Serbia (2010.09.23-2010.09.25)] 10th Symposium on Neural Network Applications in Electrical Engineering - An enhanced ANN wind power forecast model based on a fuzzy representation of wind direction

✍ Gavrilas, Mihai; Gavrilas, Gilda 📂 Article 📅 2010 🏛 IEEE ⚖ 967 KB

[IEEE 2012 IEEE PES Asia-Pacific Power a

[IEEE 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Shanghai, China (2012.03.27-2012.03.29)] 2012 Asia-Pacific Power and Energy Engineering Conference - A Modeling Method for the Power Demand of Electric Vehicles Based on Monte Carlo Simulation

✍ Zhang, Bingliang; Sun, Yutian; Li, Bingqiang; Li, Jianxiang 📂 Article 📅 2012 🏛 IEEE ⚖ 282 KB

[IEEE 2012 IEEE PES Asia-Pacific Power a

[IEEE 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Shanghai, China (2012.03.27-2012.03.29)] 2012 Asia-Pacific Power and Energy Engineering Conference - A Modeling Method for the Power Demand of Electric Vehicles Based on Monte Carlo Simulation

✍ Zhang, Bingliang; Sun, Yutian; Li, Bingqiang; Li, Jianxiang 📂 Article 📅 2012 🏛 IEEE ⚖ 282 KB

Electric vehicle (EV) is an important part of strong smart grid and low-carbon transport. In this paper, the power demand characteristics of different charging modes are analyzed first, the charging load model is constructed correspondingly based on Monte Carlo simulation. Taking the typical daily l

[IEEE 2012 IEEE International Power Engi

[IEEE 2012 IEEE International Power Engineering and Optimization Conference (PEOCO) - Melaka, Malaysia (2012.06.6-2012.06.7)] 2012 IEEE International Power Engineering and Optimization Conference - Forecasting short term electric load based on stationary output of artificial neural network considering sequential process of feature extraction methods

✍ Othman, M.M.; Harun, M.H.H.; Musirin, I. 📂 Article 📅 2012 🏛 IEEE ⚖ 360 KB