## Solar radiation and load power consumption forecasting using neural network

- Morris Brenna, Federica Foiadelli, Michela Longo, Dario Zaninelli
- 2017 6th International Conference on Clean…
- 2017

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@article{Jiesheng2015ShorttermEL, title={Short-term electricity load forecast performance comparison based on four neural network models}, author={Wang Jie-sheng and Zhu Qing-wen}, journal={The 27th Chinese Control and Decision Conference (2015 CCDC)}, year={2015}, pages={2928-2932} }

- Published 2015 in The 27th Chinese Control and Decision Conference…

Neural network methods are widely used in the prediction of chaos time series due to their versatility and small computation amount. In order to improve the prediction accuracy and real-time of all kinds of information in the short-term electricity load time series, four neural network methods with the ideal powerful capacity in non-linear modeling and predicting, such as back-propagation neural network (BPNN), ELMAN neural network, fuzzy neural network (FNN) and wavelet neural network (WNN… CONTINUE READING

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