Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms

Table 3

Comparison of the RMSE of earlier studies.

Algorithm	Variables	RMSE	Reference
Similarity-based forecasting models (SBFMs)	Temperature, humidity, dew point, wind speed, irradiance, and sky cover data	27.4	[40]
ANN	Sky image and solar irradiance	59.8	[52]
Based on cluster analysis and ensemble regression.	Global irradiance, ambient temperature	8.88	[53]
ANN	Sunshine, temperature, cloudiness, precipitation, relative humidity, dew point, temperature, soil temperature, evaporation, and pressure	33	[41]
ANN	Global irradiance, ambient temperature, relative humidity, wind direction and speed, solar azimuth, and elevation angles	8.54	[42]
SVM	Global horizontal radiation and diffuse horizontal radiation	6.19	[43]
ANN	Solar_Radiation, Wind_Speed, Relative_Humidity, temperature PV power	4.42	Present study
QSVM		16.8
TREE		8.76