A method for determining mutual voltage sensitivity coefficients between a plurality of measuring nodes (M1,..., M7) of an electric power network, the electric power network being provided with a monitoring infrastructure comprising metering units at each one of said measuring nodes, for measuring a voltage, a current and a phase difference between the voltage and the current, locally, the monitoring infrastructure comprising a processing unit connected to a communication network, the metering units being connected to the communication network so as to allow for data transmission to and from the processing unit; the method comprising the steps of: I. measure at the same time, at each one of said measuring nodes (M1,..., M7), repeatedly over a time window ( τ), sets of data comprising values of the current ( Ĩ ( t)), the voltage ( Ṽ ( t)), and the phase difference (<p(t)), timestamp ( t ∈ {t 1,..., t m}) the sets of measured data, and compute a timestamped active power value ( P̃ ( t)) and a timestamped reactive power value ( Q̃ ( t)) from each set of measured data; II. for each one of said measuring nodes, compute concomitant variations (Δ Ṽ ι ( t), Δ P̃ ι ( t), Δ Q̃ ι ( t)) of the voltage measured in step I (box "01") and of the values of the active and reactive powers computed in step I (box "01"), by subtracting from each set of concomitant values of the voltage, the active power and the reactive power respectively, the precedent values of the same variables, and compile chronologically ordered tables of the variations of the voltage (Δ Ṽ ι ( t)) at each one of the measuring nodes (M1,..., M7) in relation to concomitant variations of the active Δ P ̃ 1 t,..., Δ P N ̃ t and reactive powers Δ Q 1 ̃ t,..., Δ Q N ̃ t at all measuring nodes (M1,..., M7); III. perform multiple parametric regression analysis of the variations of the voltage at each one of the measuring nodes as compiled during step II (box "02"), while taking into account negative first-order serial correlation between error terms corresponding to discrepancies between the actual voltage variations (Δ Ṽ ι ( t)) and the variations predicted by the regression analysis, and obtain from the computed values of the parameters in the regression analysis, a matrix of the mutual voltage sensitivity coefficients between the measuring nodes of the electric power network. I. measure at the same time, at each one of said measuring nodes (M1,..., M7), repeatedly over a time window ( τ), sets of data comprising values of the current ( Ĩ ( t)), the voltage ( Ṽ ( t)), and the phase difference (<p(t)), timestamp ( t ∈ {t 1,..., t m}) the sets of measured data, and compute a timestamped active power value ( P̃ ( t)) and a timestamped reactive power value ( Q̃ ( t)) from each set of measured data; II. for each one of said measuring nodes, compute concomitant variations (Δ Ṽ ι ( t), Δ P̃ ι ( t), Δ Q̃ ι ( t)) of the voltage measured in step I (box "01") and of the values of the active and reactive powers computed in step I (box "01"), by subtracting from each set of concomitant values of the voltage, the active power and the reactive power respectively, the precedent values of the same variables, and compile chronologically ordered tables of the variations of the voltage (Δ Ṽ ι ( t)) at each one of the measuring nodes (M1,..., M7) in relation to concomitant variations of the active Δ P ̃ 1 t,..., Δ P N ̃ t and reactive powers Δ Q 1 ̃ t,..., Δ Q N ̃ t at all measuring nodes (M1,..., M7); III. perform multiple parametric regression analysis of the variations of the voltage at each one of the measuring nodes as compiled during step II (box "02"), while taking into account negative first-order serial correlation between error terms corresponding to discrepancies between the actual voltage variations (Δ Ṽ ι ( t)) and the variations predicted by the regression analysis, and obtain from the computed values of the parameters in the regression analysis, a matrix of the mutual voltage sensitivity coefficients between the measuring nodes of the electric power network.