Amrouche, B., & Le Pivert, X. (2014). Artificial neural network based daily local forecasting for global solar radiation, Applied Energy, 130, 333-341.10.1016/j.apenergy.2014.05.055
Bahgat, A.B.G., Helwa, N.H., Ahamd, G.E., & El Shenawy, E.T. (2004). Estimation of the maximum power and normal operating power of a photovoltaic module by neural networks, Renewable Energy, 29(3), 443-457.10.1016/S0960-1481(03)00126-5
Barrera, J.M., Reina, A.,Maté, A.,& Trujillo, J.C. (2020). Solar Energy Prediction Model Based on Artificial Neural Networks and Open Data, Sustainability, 12(17), 6915.10.3390/su12176915
Botea, R. (2020). Energiile regenerabile au acoperit 42% din consumul de energie al României, cu 10 puncteprocentualepeste media europeană. Ziarul Financiar. https://www.zf.ro/eveniment/energiile-regenerabile-au-acoperit-42-din-consumul-de-energie-al-romanieicu-10-puncte-procentuale-peste-media-europeana-18764797.
Cococcioni, M., D’Andrea, E., & Lazzerini, B. (2011). 24-h-ahead forecasting of energy production in solar PV systems. 11th International Conference on Intelligent Systems Design and Applications, Cordoba, Spain, 1276-1281, 10.1109/ISDA.2011.6121835">http://doi.org/10.1109/ISDA.2011.6121835.10.1109/ISDA.2011.6121835
European Court of Auditors. (2019). Table B – Percentage share of renewable energy in gross final energy consumption in the four Member States examined between 2010 and 2017 and trajectories until 2020. Wind and solar power for electricity generation: significant action needed if EU targets to be met. https://op.europa.eu/webpub/eca/special-reports/wind-solar-power-generation-8-2019/ro/index.html#h2table5.
Gala, Y., Fernández, A.,Dorronsoro, J., García, M.,&Rodríguez, C. (2014). Machine Learning Prediction of Global Photovoltaic Energy in Spain, Renewable Energy and Power Quality Journal, 12, 605-610.10.24084/repqj12.423
Jawaid, F., & Junejo, K.N. (2016). Predicting Daily Mean Solar Power Using Machine Learning Regression Techniques. 2016 Sixth International Conference on Innovative Computing Technology (INTECH), Dublin, Ireland, 355-360, 10.1109/INTECH.2016.7845051">http://doi.org/10.1109/INTECH.2016.7845051.10.1109/INTECH.2016.7845051
Kahan, A. (2019, September 24). EIA projects nearly 50% increase in world energy usage by 2050, led by growth in Asia, U.S. Energy Information Administration. https://www.eia.gov/todayinenergy/detail.php?id=41433.
Krishna, P.G., Ravi, K.S., Kishore, K.H., Veni, K.K., Rao, K.N.S.,& Prasad, R.D. (2018). Design and development of bi-directional IoT gateway using ZigBee and Wi-Fi technologies with MQTT protocol, International Journal of Engineering & Technology, 7(2.8), 125-129.10.14419/ijet.v7i2.8.10344
Laouafi, A.,Mordjaoui, M., & Dib, D. (2015). One-hour ahead electric load and wind-solar power generation forecasting using artificial neural network. 6th International Renewable Energy Congress, Sousse, Tunisia, 1-6. 10.1109/IREC.2015.7110894">http://doi.org/10.1109/IREC.2015.7110894.10.1109/IREC.2015.7110894
McCulloch, W.S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics, 5(5), 115-133.10.1007/BF02478259
Mellit, A., Benghanem, M., & Bendekhis, M. (2005). Artificial neural network model for prediction solar radiation data: Application for sizing stand-alone photovoltaic power system. 2005 IEEE Power Engineering Society General Meeting, San Francisco, CA, 1, 40-44, 10.1109/PES.2005.1489526">http://doi.org/10.1109/PES.2005.1489526.10.1109/PES.2005.1489526
Mellit, A., Saglam, S., & Kalogirou, S.A. (2013). Artificial neural network-based model for estimating the produced power of a photovoltaic module, Renewable Energy, 60, 71-78.10.1016/j.renene.2013.04.011
Quiles, E., Roldán-Blay, C., Escrivá-Escrivá, G., & Porta, C.R. (2020). Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability, Sustainability, 12, 1274.10.3390/su12031274
Voon, J. (2017). Create, collect and consume: the fundamentals of the internet of things. Wired. https://www.wired.co.uk/article/create-collect-and-consume-the-fundamentals-of-iot.