Enforcing mean reversion in state space models for prawn pond water quality forecasting.
Computers and Electronics in Agriculture(2020)
摘要
•Forecasting water quality variables in prawn ponds is considered.•An approach to introduce mean reversion in state space models is proposed.•The approach constrains deviant forecasts in long-term multi-step-ahead forecasts.•One can select which state space components should be mean reverting.•The approach allows for modelling short and long-term dynamics.
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关键词
Long term forecasting,Multi-step ahead forecasting,Mean reversion,Forecast constraint,Kalman filter
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