A method for remote detection of an anomaly that affects an operation of a photovoltaic installation for producing electricity, referred to as monitored installation, comprising at least one step during which electricity production values measured for the monitored installation are compared with values that are deduced from measurements performed for several other photovoltaic installations for producing electricity, referred to as neighbouring installations and different from the monitored installation, said method comprising the following steps: /1/ during a learning period, collecting the electricity production values measured for the monitored installation and for the neighbouring installations; /2/ from the electricity production values measured for said neighbouring installations, determining a function for estimating the electricity production for the monitored installation, having time as variable, by minimising a total deviation calculated over the learning period between the electricity production values measured for the monitored installation and estimated values obtained by the estimation function; /3/ for at least one time point subsequent to the learning period, collecting new electricity production values measured for the monitored installation and for each neighbouring installation; /4/ for each time point subsequent to the learning period that is concerned by step /3/, calculating at least one estimated electricity production value using the estimation function determined at step /2/; and /5/ declaring that an anomaly is detected in the operation of the monitored installation from a comparison for at least one time point subsequent to the learning period, between the estimated electricity production value that has been calculated at step /4/ and the new measured electricity production value that has been collected at step /3/ for the monitored installation. /1/ during a learning period, collecting the electricity production values measured for the monitored installation and for the neighbouring installations; /2/ from the electricity production values measured for said neighbouring installations, determining a function for estimating the electricity production for the monitored installation, having time as variable, by minimising a total deviation calculated over the learning period between the electricity production values measured for the monitored installation and estimated values obtained by the estimation function; /3/ for at least one time point subsequent to the learning period, collecting new electricity production values measured for the monitored installation and for each neighbouring installation; /4/ for each time point subsequent to the learning period that is concerned by step /3/, calculating at least one estimated electricity production value using the estimation function determined at step /2/; and /5/ declaring that an anomaly is detected in the operation of the monitored installation from a comparison for at least one time point subsequent to the learning period, between the estimated electricity production value that has been calculated at step /4/ and the new measured electricity production value that has been collected at step /3/ for the monitored installation.