Harnessing climate variables for predicting PV power output: A backpropagation neural network analysis in a subtropical climate region

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations

Computing, Computer Science, Knowledge Representation +11

Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance

C. J. Willmott, Kenji Matsuura · Climate Research · 2005 · 6.1K citations · Full text

Natural Sciences, Environmental Sciences, Geography +15

EnergyPlus: creating a new-generation building energy simulation program

Drury B. Crawley, Linda K. Lawrie, F.C. Winkelmann et al. · Energy and Buildings · 2001 · 2.7K citations

Architecture, Architectural Engineering, Building Science +12

Mean Square Error of Prediction as a Criterion for Selecting Variables

David M. Allen · Technometrics · 1971 · 548 citations

Business, Decision Sciences, Forecasting +16

Selecting a classification method by cross-validation

Cullen Schaffer · Machine Learning · 1993 · 450 citations · Full text

Computing, Data Science, Machine Learning +9