31
Sopian Al Rasyid, 2015
SHORT TERM LOAD FORECASTING UNTUK HARI LIBUR PADA KONDISI BEBAN ANOMALI MENGGUNAKAN ALGORITMA HYBRID BACK PROPAGATION-SWARM PARTICLE
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
DAFTAR PUSTAKA
Abdullah, A. G., Suranegara, G. M., & Hakim, D. L. (2014). Hybrid PSO-ANN Application for Improved Accuracy of Short Term Load Forecasting. Wseas
Transactions on Power Systems, 9(1), 446–451.
Amjady, N. (2001). Short-Term Hourly Load Forecasting Using Time-Series Modeling with Peak Load Estimation. IEEE Transactions on Power Systems, 16(3), 498–505.
Arora, S., & Taylor, J. W. (2013). Short-term forecasting of anomalous load using rule-based triple seasonal methods. IEEE Transactions on Power Systems, 28(3), 3235–3242. http://doi.org/10.1109/TPWRS.2013.2252929
Asar, A., & Mahmood, F. (2009). Performance ofSTLF Model from the PSO , Time Series and Regression Perspectives. IEEE International Conference on,
On page(s), 1157–1162.
Bashir, Z. A. (2007). Short-term Load Forecasting using Artificial Neural Network based on Particle Swarm Optimization Algorithm. Departemen of
Electrical & Computer Engineering Dallhousie University, On page(s), 272–
275.
Baumann, T., & Alain, G. (1975). Application of the Kohonen Network to Short-Term Load Forecasting. IEEE International Conference on, On page(s), 407–412.
Chaojun, G., Member, S., Yang, D., Jirutitijaroen, P., Member, S., Walsh, W. M., & Reindl, T. (2014). Spatial Load Forecasting with Communication Failure Using Time-Forward Kriging. IEEE Transactions on Power Systems, 29(6), 2875–2882.
Choobeh, A. K. (2013). Short Term Load Forecasting for Shiraz Region Using Adaptive Back Propagation Neural Network. IEEE International Conference
on, On page(s), 3–5. http://doi.org/10.1109/CSNT.2013.125
Eberhart, R., & Kennedy, J. (1995). A New Optimizer Using Particle Swarm Theory. IEEE International Conference on, On page(s), 39–43.
El-telbany, M., & El-karmi, F. (2008). Short-term forecasting of Jordanian electricity demand using particle swarm optimization. Electrical Power
Systems Research, 78(1), 425–433. http://doi.org/10.1016/j.epsr.2007.03.011
32
Sopian Al Rasyid, 2015
SHORT TERM LOAD FORECASTING UNTUK HARI LIBUR PADA KONDISI BEBAN ANOMALI MENGGUNAKAN ALGORITMA HYBRID BACK PROPAGATION-SWARM PARTICLE
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
Folly, E. B. K. A. (2007). Short Term Load Forecasting Using Artificial Neural Network. IEEE International Conference on, Page on(s), 108–112.
GL, P., Sambasivarao, K., Kirsali, P., & Singh, V. (2014). Short Term Load Forecasting for Uttarakhand using Neural Network and Time Series models.
IEEE International Conference on, On page(s), 1–6.
He, Y., & Xu, Q. (2012). Short term Power Load Forecasting Based on Self-adapting PSO-BP Neural Network Model. Institute of Electrical and
Electronics Engineers (IEEE), 1(1), 1096–1099.
http://doi.org/10.1109/ICCIS.2012.279
Ho, K., Hsu, Y., Chen, C., Lee, T., Liang, C., Lai, T., & Chen, K. (1990). IEEE Transactions on Power Systems,. IEEE Transactions on Power Systems, 5(4), 1214–1221.
Khamis, M. F. I., Baharudin, Z., Hamid, N. H., Abdullah, M. F., Nordin, F. T.,
Petronas, U. T., … Ridzuan, P. D. (2011). Short Term Load Forecasting for Small Scale Power System Using Fuzzy Logic. IEEE International
Conference on, On page(s), 1–5.
Kim, K., Youn, H., Member, S., & Kang, Y. (2000). Short-Term Load Forecasting for Special Days in Anomalous Load Conditions Using Neural Networks. IEEE Transactions on Power Systems, 15(2), 559–565.
Lagudu, S., & Sarma, C. H. V. (2013). Hand Writing Recognition Using Hybrid Particle Swarm Optimization & Back Propagation Algorithm. International
Journal of Application or Innovation in Engineering (IJAIEM), 2(1), 75–81.
Loewenstern, Y., Katzir, L., & Shmilovitz, D. (2014). Statistical Analysis of Power Systems and Application to Load Forecasting. IEEE International
Conference on, On page(n), 1–5.
Lu, N., & Zhou, J. (2009). Particle Swarm Optimization-Based RBF Neural Network Load Forecasting Model. Institute of Electrical and Electronics
Engineers (IEEE), 1(1), 0–3.
Mahdavi, N., Menhaj, M. B., & Barghinia, S. (2006). Short-Term Load Forecasting for Special Days Using Bayesian Neural Networks. IEEE
International Conference on, On page(s), 1518–1522.
Motamedi, A., Zareipour, H., Member, S., Rosehart, W. D., & Member, S. (2012). Electricity Price and Demand Forecasting in Smart Grids. IEEE Transactions
on Smart Grid, 3(2), 664–674.
Paparoditis, E., & Sapatinas, T. (2013). Short-Term Load Forecasting : The Similar Shape Functional Time-Series Predictor. IEEE Transactions on
33
Sopian Al Rasyid, 2015
SHORT TERM LOAD FORECASTING UNTUK HARI LIBUR PADA KONDISI BEBAN ANOMALI MENGGUNAKAN ALGORITMA HYBRID BACK PROPAGATION-SWARM PARTICLE
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
Quaiyum, S., Khan, Y. I., Rahman, S., & Barman, P. (2011). Artificial Neural Network based Short Term Load Forecasting of Power System. International
Journal of Computer Applications (IJCA), 30(4), 1–7.
Rahman, S., & Bhatnagar, R. (1988). An Expert System based Algorithm for Short Term Load Forecast. IEEE Transactions on Power Systems, 3(2), 392– 399.
Reddy, S. S., Member, S., Momoh, J. A., & Ieee, F. (2014). Short Term Electrical Load Forecasting Using Back Propagation Neural Networks. IEEE
International Conference on, On page(s), 1–6.
Riaz, S., & Khan, A. (2007). Short Term Load Forecasting Using Particle Swarm Optimization Based ANN Approach. IEEE International Conference on, On page(s), 1–6.
Sforna, M. (1996). A neural network based technique for short-term forecasting of anomalous load perioids. IEEE Transactions on Power Systems, 11(4), 1749–1756.
Shangdong, Y. (2006). A New ANN Optimized By Improved PSO Algorithm Combined With Chaos And Its Application In Short-term Load Forecasting.
IEEE International Conference on, On page(s), 945–948.
Shayeghi, H., Shayanfar, H. A., & Azimi, G. (2010). A Hybrid Particle Swarm Optimization Back Propagation Algorithm for Short Term Load Forecasting. International Journal on Technical and Physical Problems of Engineering (IJTPE), 2(4), 12–22.
Song, K., Baek, Y., Hong, D. H., & Jang, G. (2005). Short-Term Load Forecasting for the Holidays Using Fuzzy Linear Regrresion Method. IEEE
Transactions on Power Systems, 20(1), 96–101.
Srinivasan, D., & Liew, C. S. C. A. C. (1995). Demand Forecasting Using Fuzzy Neural Computation , With Special Emphasis On Weekend And Public Holiday Forecasting. IEEE Transactions on Power Systems, 10(4), 1897– 1903.
Sun, W. E. I., & Zou, Y. (2007). Short Term Load Forecasting based on BP Neural Network trainde by PSO. Institute of Electrical and Electronics
Engineers (IEEE), 1(1), 19–22.
Taylor, J. W., Mcsharry, P. E., & Member, S. (2007). Short-Term Load Forecasting Methods : An Evaluation Based on European Data. IEEE
34
Sopian Al Rasyid, 2015
SHORT TERM LOAD FORECASTING UNTUK HARI LIBUR PADA KONDISI BEBAN ANOMALI MENGGUNAKAN ALGORITMA HYBRID BACK PROPAGATION-SWARM PARTICLE
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
Wang, Y. (2009). Back Propagation Neural Network for Short-term Electricity Load Forecasting with Weather Features. IEEE International Conference on,
On page(s), 58–61. http://doi.org/10.1109/CINC.2009.107
Xuan, W., & Jiake, L. V. (2008). A Hybrid Partcile Swarm Optimization Neural Network Approach for Short Term Load Forecasting. IEEE International