1 |
A. Yona, T. Senjyu, T. Funabashi, P. Mandal, and C. H. Kim, "Decision technique of solar radiation prediction applying recurrent neural network for short-term ahead power output of photovoltaic system," Smart Grid and Renewable Energy, Vol. 4, No. 6A, pp.32-38, Sep. 2013.
DOI
|
2 |
K. H. Lee and W. J. Kim, "Forecasting of 24_hours Ahead Photovoltaic Power Output Using Support Vector Regression," The Journal of Korean Institute of Information Technology, Vol. 14, No. 3, pp. 175-183, May. 2016.
|
3 |
[Internet]. Available: http://colah.github.io/posts/2015-08-Understanding-LSTMs [Accessed: Nov.03.2019]
|
4 |
A. Costa, A. Crespo, J. Navarro, G. Lizcano, H. Madsen, and E. Feitosa, "A review on the young history of the wind power short-term prediction," Renewable and Sustainable Energy Reviews, Vol. 12, No. 6, pp. 1725-1744, Aug. 2008.
DOI
|
5 |
M. A. Islam, M. Hasanuzzaman, N. A. Rahim, A. Nahar, and M. Hosenuzzaman, "Global renewable energy-based electricity generation and smart grid system for energy security," The Scientific World Journal, Vol. 2014, pp. 1-13, Aug. 2014.
|
6 |
H. Yang, C. Huang, Y. Huang, and Y. Pai, "A weather-based hybrid method for 1-day ahead hourly forecasting of PV power output," IEEE Transactions on Sustainable Energy, Vol. 5, No. 3, pp. 917-926, Apr. 2014.
DOI
|
7 |
M. Lei, L. Shiyan, J. Chuanwen, L. Hongling, and Z. Yan, "A review on the forecasting of wind speed and generated power," Renewable and Sustainable Energy Reviews, Vol. 13, No. 4, pp. 915-920, May. 2009.
DOI
|
8 |
S. Mirasgedis, Y. Sarafidis, E. Georgopoulou, D. Lalas, M. Moschovits, F. Karagiannis, and D. Papakonstantinou, "Models for mid-term electricity demand forecasting incorporating weather influences," Energy, Vol. 31, No. 2-3, pp. 208-227, Feb. 2006.
DOI
|
9 |
T. Hong, J. Wilson, and J. Xie, "Long term probabilistic load forecasting and normalization with hourly information," IEEE Transactions on Smart Grid, Vol. 5, No. 1, pp. 456-462, Jan. 2014.
DOI
|
10 |
A. J. Conejo, M. A. Plazas, R. Espinola, S. Member, and A. B. Molina, "Day-ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models," IEEE Transactions On Power Systems, Vol. 20, No. 2, pp. 1035-1042, May. 2005.
DOI
|
11 |
D. J. Lee, J. P. Lee, C. S. Lee, J. Y. Lim, and P. S. Ji, "Development of PV power prediction algorithm using adaptive neuro-fuzzy model," The Transactions of the Korean Institute of Electrical Engineers, Vol. 64, No. 4, pp. 246-250, Dec. 2015.
DOI
|
12 |
S. M. Lee and W. J. Lee, "Development of a system for predicting photovoltaic power generation and detecting using machine learning," KIPS Transactions on Computer and Communication Systems, Vol. 5, No. 10, pp. 353-360, Oct. 2016.
DOI
|
13 |
C. S. Lee and P. S. Ji, " Development of daily PV power forecasting models using ELM," The transactions of the Korean Institute of Electrical Engineers, Vol. 64P, No. 3, pp. 164-168, Sep. 2015.
|