Predictive Power of Machine Learning for Optimizing Solar Water Heater Performance: The Potential Application of High-Throughput Screening

Figure 2

Testing results using an ANN model for the prediction of heat collection rate for WGET-SWHs. (a) Predicted values versus actual values; (b) residual values versus actual values; and (c) residual values versus predicted values. Reproduced with permission from Liu et al. [2].

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