Enforcing mean reversion in state space models for prawn pond water quality forecasting.

Computers and Electronics in Agriculture(2020)

引用 13|浏览23
暂无评分
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.
更多
查看译文
关键词
Long term forecasting,Multi-step ahead forecasting,Mean reversion,Forecast constraint,Kalman filter
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要