Table 1 Overview on PV parameter estimation in literature

da Costa et al. (2010); Soon and Low (2012); Ma et al. (2013); Silva et al. (2016); Kang et al. (2018); Jadli et al. (2018); Dali et al. (2015); Mughal et al. (2017); Oliva et al. (2017); Oliva et al. (2017); Chen et al. (2019)

SDM, DDM

mainly IV curve measurements under STC or varying conditions; sometimes extracted from data sheets

meta-heuristics like variants of PSO (Soon and Low 2012; Dali et al. 2015; Mughal et al. 2017), GA (Dali et al. 2015), differential evolution algorithm (da Costa et al. 2010), Cuckoo Search (Ma et al. 2013; Kang et al. 2018), SCA (Chen et al. 2019), Artificial Bee Colonies (Oliva et al. 2017; Oliva et al. 2017) or SA (Mughal et al. 2017; Jadli et al. 2018)

MSE, (normalised) RMSE, MPE, MAE, IAE

(Ruelle et al. 2016)

SAPM and SDM

Generation data from over 40,000 systems

direct search method

normalized MAE

(Haghdadi et al. 2017)

NREL PVWatts

extracted clear sky data

least squares method

-

(Saint-Drenan et al. 2015)

LUT for irradiance and power

power measurements of two PV systems

multiple steps

problem specific

(Williams et al. 2012)

astronomical approach

data of 135 PV systems

calculating longitude from biased peak production

-

(Mason et al. 2020)

DNN

evaluated on simulated data only

DNN

MAE

(Meng et al. 2020)

normalised POA irradiance

simulated data and 13 PV system power measurements

curve fitting on best clear sky day per month

RMSE

(Chen et al. 2016)

sun position algorithm

14 PV systems with almost optimal orientation and tilt

binary search using pre-processed sunrise/sunset and daylength

specific tightest bound fit

(Chen and Irwin 2017b)

sun position algorithm and weather data at a specific location

100 buildings with net load measurements

iterative, multi-step binary search

-

(Chen and Irwin 2017a)

sun position algorithm and weather signature

10 solar sites

(1) correlation clustering to find rough location, (2) weighted midpoint within the cluster

Pearson Correlation

this work

NREL PVWatts

ERA5 weather data/clear sky irradiance model, power generation time series

PSO

RMSE, MAE, MAD and IQR filtered RMSE and MAE