Prediction of Photovoltaic Panel Power Outputs using Time Series and Artificial Neural Network Methods
Author:
Publisher
Tekirdag Ziraat Fakultesi Dergisi
Subject
Pollution,General Agricultural and Biological Sciences
Reference27 articles.
1. Abdel-Nasser, M., Mahmoud, K. (2019). Accurate photovoltaic power forecasting models using deep LSTM-RNN. Neural Computing & Applications, 31:2727–2740.
2. Ahmed, U.M.K., Ampatzis, M., Nguyen, H.P., Kling, L.W. (2014). Application of time-series and Artificial Neural Network models in short term load forecasting for scheduling of storage devices. 49th International Universities Power Engineering Conference (UPEC), Cluj-Napoca, Romania. 10.1109/UPEC.2014.6934761.
3. Al-Ali, R.A. (2016). Internet of things role in the renewable energy resources. Energy Procedia, 100:34-38.
4. Arifin, F., Robbani, H., Annisa, T., Ma’Arof, N.N.M.I. (2019). Variations in the number of layers and the number of neurons in artificial neural networks: Case study of pattern recognition. J. Phys. Conf. Ser. 1413: 0–6.
5. Dandıl, E., Gürgen, E. (2017). Prediction of photovoltaic panel power output using artificial neural networks learned by heuristic algorithms: A comparative study. International Conference on Computer Science and Engineering (UBMK), Antalya, 397-402.
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