This chapter has described tools to improve forecasting of trends and of the effects of interventions. Among these methods, role playing and rule-based forecasting have seldom been used lot environmental forecasting. Role playing is appropriate when forecasting the outcome of a situation...

Robust forecasting of mining sector revenues is key to effective budgeting (and broader fiscal management) in many resource-rich countries. However, this is challenging in practice, given commodity market volatility, the extended lags (and often opaque processes) between resource discoveries and...

A multi-factor carbon price prediction method MEEMD-LSTM is proposed based on traditional Long Short-term Memory (LSTM) neural network. Multi-factor used in carbon price prediction method included the historical carbon price and other factors which affect carbon price fluctuation. The change...