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CEO of Professional Science Editing for Scientists @ prosciediting.com

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forecasting capacity

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "forecasting capacity" is correct and usable in written English.
It can be used when discussing the ability or potential to predict future events or trends, particularly in fields like business, economics, or data analysis. Example: "The company's forecasting capacity has improved significantly due to the implementation of advanced analytics tools."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

However, the bureau's forecasting capacity continues to improve through scientific advancement and increasing computing power.

The results indicate reasonable forecasting capacity (on average 17% deviation), but additional years should also be evaluated.

Nevertheless, the best forecasting capacity was obtained with the SVM model with N48 and v as input parameters.

To test the forecasting capacity, we ran Niger-HYPE with a combination of meteorological data sets for the 2008 high-flow season and compared with observations.

To improve the forecasting capacity of the combined model, a modified optimization algorithm is proposed and employed to determine the parameters of the single models.

Interestingly, what I found is that operating profit margins for corporations carry no forecasting capacity.

News & Media

Forbes
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Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

In contrast, NHMS staff and collaborators were trained to strengthen national forecasting capacities within the GHA.

This was achieved especially because of technology transfers and training sessions that enhanced ICPAC's staff forecasting capacities and skills.

A recurrent observation in this region, documented through interviews conducted for this study, is the existing limits in forecasting capacities, which are due to incomplete or unavailable historical, long-term climatic data as well as a lack of up-to-date technologies and experienced staff among climate institutions (Hellmuth et al. 2007; Baudoin et al. 2014).

This years forecast capacity margin – the difference between available supply and expected peak demand – is 1.2% before the additional measures, the lowest since 2005-6.

Finally, a formal error analysis for the resulted regression models has been conducted to validate its forecast capacity.

Science

Energy
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Expert writing Tips

Best practice

When discussing the improvement of prediction skills, specify what contributes to the increased "forecasting capacity", such as advanced tools or updated data.

Common error

Avoid exaggerating the "forecasting capacity" of a model or system without providing evidence or quantifiable metrics to support the claim. Always base your claims on verifiable data and rigorous analysis.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

88%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "forecasting capacity" functions as a noun phrase, typically acting as the subject or object of a sentence. Ludwig AI shows that it describes the ability or potential to predict future events or trends.

Expression frequency: Common

Frequent in

Science

42%

News & Media

33%

Formal & Business

25%

Less common in

Social Media

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "forecasting capacity" is a common and grammatically correct term used to describe the ability to predict future events or trends. As Ludwig AI confirms, it's appropriate across diverse fields like science, news, and business. To enhance the effectiveness of your writing, especially in professional and academic contexts, specify what strengthens the "forecasting capacity" of a system. Avoid unsubstantiated claims and ensure your assertions are supported by data. Consider alternatives like "predictive capability" to vary your phrasing. Overall, understanding the nuances of "forecasting capacity" ensures clear and credible communication.

FAQs

How can I improve "forecasting capacity" in my business?

Improving "forecasting capacity" involves leveraging data analytics, machine learning, and expert insights. Regularly update your data sets and refine your models to increase accuracy. Consider using advanced tools for demand forecasting and scenario planning.

What's the difference between "forecasting capacity" and "predictive accuracy"?

"Forecasting capacity" refers to the overall potential or ability to make predictions, while "predictive accuracy" is the measure of how correct those predictions actually are. A high "forecasting capacity" doesn't guarantee high "predictive accuracy" if the models are flawed or the data is incomplete.

In what contexts is "forecasting capacity" most relevant?

"Forecasting capacity" is particularly relevant in business planning, financial analysis, supply chain management, and weather prediction. It's essential for making informed decisions and mitigating risks in uncertain environments.

Are there alternatives to "forecasting capacity" that I can use in my writing?

Yes, you can use phrases like "predictive capability", "forecasting ability", or "projection capabilities" to convey a similar meaning. The best choice depends on the specific context and the nuance you want to express.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: