System and method for real time prediction of water level and hazard level of a dam

A water level prediction system for a dam, wherein the system includes:

• a water level prediction module which is configured to receive time series data, which relates to a water level of the dam, in real-time, and wherein the water level prediction module includes:
• a recurrent neural network (RNN) or RNN model/algorithm which is configured/trained to predict, in real-time, a future water level of the dam by using the received time series data in the RNN or RNN model/algorithm;
• and at least one statistical model or statistical algorithm which is configured or trained to predict in real-time a future water level of the dam by using the receiving time series data in the statistical model or statistical algorithm, wherein the water level prediction module is configured to:
• calculate a MAPE (Mean Absolute Percentage Error) of each of the (i) recurrent neural network (RNN) or RNN model or RNN algorithm and (ii) the statistical model or statistical algorithm, and identify the network, model or algorithm with the lowest MAPE value and use it to predict the future water level of the dam.