2020
DOI: 10.3390/su12176915
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Abstract: With climate change driving an increasingly stronger influence over governments and municipalities, sustainable development, and renewable energy are gaining traction across the globe. This is reflected within the EU 2030 agenda, that envisions a future where there is universal access to affordable, reliable and sustainable energy. One of the challenges to achieve this vision lies on the low reliability of certain renewable sources. While both particulars and public entities try to reach self-sufficiency throu… Show more

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Cited by 37 publications
(15 citation statements)
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“…Moreover, the tracking of MPP in this method without a well-skilled operator is inaccurate because the FLC function depends on the operator's ability [21]. The Artificial Neural Network (ANN) [84] is also an AI-based method with having multilayer perceptrons (MLP) such as an input layer that collects inputs, a hidden layer, and an output layer that issues outputs. It also has positive effects on handling the nonlinearity behavior of PV solar modules and on the onward movement of the techniques used to improve the PV solar energy generation.…”
Section: Figure 5 the Classification Of The Mppt Methods [58]mentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, the tracking of MPP in this method without a well-skilled operator is inaccurate because the FLC function depends on the operator's ability [21]. The Artificial Neural Network (ANN) [84] is also an AI-based method with having multilayer perceptrons (MLP) such as an input layer that collects inputs, a hidden layer, and an output layer that issues outputs. It also has positive effects on handling the nonlinearity behavior of PV solar modules and on the onward movement of the techniques used to improve the PV solar energy generation.…”
Section: Figure 5 the Classification Of The Mppt Methods [58]mentioning
confidence: 99%
“…c. Types of materials PV panels made by Different researches and developments are on-going on the manufacturing of solar cells to achieve better power output and efficiency of solar energy harnessing systems [83][84][85][86][87]. Mainly, the PV solar modules efficiency is decided by two factors: PV solar cell efficiency and total PV solar module efficiency.…”
Section: Figure 5 the Classification Of The Mppt Methods [58]mentioning
confidence: 99%
“…The results showed that the RBNN generates low errors compared with the other techniques. The Internet of Things (IoT) was implemented to collect different natural factors in the environment to forecast the generated energy from a photovoltaic module using ANN [12]. The technique reduced the mean square error (MSE) while improving the forecasting effectiveness.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Artificial neural network (ANN), for example, is a flexible type of machine learning that has been broadly used for prediction tasks. Barrera, et al [95] proposed an ANN model developed with open data sources for analyzing SE and also the effect of environmental factors on this parameter.…”
Section: Introductionmentioning
confidence: 99%