Sentence examples for forecasting long from inspiring English sources

A series, other IK key for water resources management also exists globally where observation of insects and atmospheric phenomena such as halos have widely been used for weather forecasting long before the current meteorology was developed (Anandaraja et al. 2008).

High resolution electricity measurements from smart meters installed at the clinics are used to close the energy balance and form the basis of a probabilistic method for forecasting long term hourly electricity demand in African health centers.

But the model has had a poor record over the last 75 years in forecasting long-term returns, according to Clifford S. Asness, managing principal of AQR Capital Management, a quantitative research firm.

Forecasting long-term natural gas production from shale gas reservoirs is an essential element in economic evaluation.

Time series models are good at analyzing and forecasting long-term data, which has clear trend and regular fluctuation.

Unlike short-term load forecasting, long-term load forecasting is mainly affected by economical factors rather than weather conditions.

The FTC-time analogy method can be used to solve problems of forecasting long-term frozen soil strength, as well as for research concerning frozen soil engineering.

This paper offers a brief introduction to the spherical template indenter and introduces the FTC-time analogy method for forecasting long-term strength of frozen soil.

This study compares the effectiveness of five data driven models for forecasting long-term (6 and 12 months lead time) drought conditions in the Awash River Basin of Ethiopia.

The authors concluded that, while these variables may be useful in forecasting long-term returns, "valuation‐based strategies and the much simpler 60‐40 static portfolio have had very similar performance, before transaction and tax costs".

These challenges include ensuring proper representation of a community [ 32], forecasting long-term impacts of basic research [ 33, 34], and threats to internal validity, specifically concerns for decreased randomization and contamination [ 35].