Predicting water prices using machine learning techniques
Comprehensive analysis of Victorian water markets using advanced predictive modeling and optimization techniques. Includes time series forecasting of water allocation prices, portfolio optimization for water assets, and decision-making algorithms for water purchases. Utilizes machine learning methods like ARIMA, LSTM, and Bayesian neural networks to analyze market trends and optimize trading strategies in the Murray-Darling Basin.