forecasting

简明释义

英[/ˈfɔːkɑːstɪŋ/]美[/ˈfɔrˌkæstɪŋ/]

n. 预测

v. 预言；作预告（forecast 的 ing 形式）

英英释义

单词用法

同义词

反义词

例句

1.Diels also hopes to see the birth of "interactive meteorology"—not just forecasting the weather but controlling it.

迪尔斯还希望看到“互动气象学”的诞生——不仅仅是预测天气，而是控制它。

2.IT must support more precise forecasting and delivery of end results.

IT必须支持对最终结果更准确的预测和交付。

3.The government is forecasting an economic recovery.

政府预测经济会复苏。

4.I am responsible for financial development programs in many parts of the world, so forecasting long range trends and making predictions on the basis of present evidence is what I do.

我负责世界上许多地方的金融发展项目，所以我的工作就是预测其长期趋势，并在现有证据的基础上做出预测。

5.His choice of field - the theory of economic forecasting - is to blame.

这应归咎于他所选择的领域——经济预测理论。

6.We saw lots of graphs forecasting profits.

我们看到了大量预测利润的图表。

7.The weather department is forecasting 天气预报 a storm this weekend.

气象部门正在预测天气预报这个周末会有暴风雨。

8.Economists are forecasting 经济预测 a recession in the next quarter.

经济学家们正在预测经济预测下个季度将出现衰退。

9.The sales team is forecasting 销售预测 an increase in demand for the new product.

销售团队正在预测销售预测新产品的需求将增加。

10.They are forecasting 预测 that the population will grow by 10% over the next decade.

他们正在预测预测未来十年人口将增长10%。

11.The company uses advanced algorithms for forecasting 预测 market trends.

公司使用先进的算法进行预测市场趋势。

作文

In today's rapidly changing world, the importance of accurate and effective forecasting cannot be overstated. Forecasting refers to the process of predicting future events or trends based on historical data and analysis. This practice is essential across various fields, including economics, meteorology, and business. By understanding how to utilize forecasting techniques, individuals and organizations can make informed decisions that can significantly impact their success. One of the primary areas where forecasting is applied is in the field of economics. Economists use various models to predict future economic conditions, such as inflation rates, unemployment levels, and GDP growth. For instance, by analyzing past economic data, economists can create models that help them predict how changes in interest rates may influence consumer spending and investment. This type of forecasting is crucial for policymakers, as it allows them to make decisions that can stabilize or stimulate the economy. In addition to economics, forecasting plays a vital role in meteorology. Weather forecasts rely heavily on forecasting techniques to provide accurate predictions about weather conditions. Meteorologists analyze data from satellites, radar, and weather stations to create models that predict future weather patterns. This information is invaluable for individuals and businesses alike, as it helps them prepare for severe weather events, plan outdoor activities, and manage resources effectively. Furthermore, the business sector heavily relies on forecasting to drive strategic planning and decision-making. Companies utilize sales forecasting to predict future sales volumes based on historical sales data, market trends, and consumer behavior. This enables businesses to manage inventory levels, allocate resources efficiently, and develop marketing strategies that align with predicted demand. For example, a retail company might analyze past sales data during holiday seasons to forecast the demand for specific products, allowing them to stock appropriately and maximize sales opportunities. However, it is essential to recognize that forecasting is not an exact science. Many factors can influence the accuracy of predictions, including unexpected events, changes in consumer behavior, and shifts in market dynamics. As such, it is crucial for those engaged in forecasting to continuously monitor and adjust their predictions based on new data and developments. This adaptability is key to improving the reliability of forecasting efforts over time. Moreover, advancements in technology have significantly enhanced the ability to conduct forecasting. The rise of big data analytics and machine learning has provided new tools for analyzing vast amounts of information, leading to more accurate predictions. Businesses that leverage these technologies can gain a competitive edge by making data-driven decisions based on sophisticated forecasting models. In conclusion, forecasting is a critical practice that spans multiple disciplines, providing valuable insights that guide decision-making processes. Whether in economics, meteorology, or business, effective forecasting enables individuals and organizations to anticipate future trends and make informed choices. As we continue to navigate an increasingly complex world, the ability to forecast accurately will remain a vital skill for achieving success. By embracing forecasting techniques and adapting to new information, we can better prepare for the future and respond to the challenges that lie ahead.

在当今快速变化的世界中，准确和有效的预测的重要性不容小觑。预测是指基于历史数据和分析预测未来事件或趋势的过程。这一实践在经济学、气象学和商业等多个领域至关重要。通过理解如何利用预测技术，个人和组织可以做出对其成功产生重大影响的明智决策。 预测应用的主要领域之一是经济学。经济学家使用各种模型来预测未来的经济状况，例如通货膨胀率、失业水平和国内生产总值（GDP）增长。例如，通过分析过去的经济数据，经济学家可以创建模型，帮助他们预测利率变化可能如何影响消费者支出和投资。这种类型的预测对政策制定者至关重要，因为它使他们能够做出稳定或刺激经济的决策。 除了经济学，预测在气象学中也发挥着重要作用。天气预报在很大程度上依赖于预测技术，以提供关于天气条件的准确预测。气象学家分析来自卫星、雷达和气象站的数据，以创建预测未来天气模式的模型。这些信息对个人和企业来说都是无价的，因为它帮助他们为严重天气事件做好准备，计划户外活动，并有效管理资源。 此外，商业部门在推动战略规划和决策时也严重依赖于预测。公司利用销售预测来根据历史销售数据、市场趋势和消费者行为预测未来的销售量。这使企业能够管理库存水平、高效分配资源，并制定与预期需求相一致的营销策略。例如，一家零售公司可能会分析假日季节的过去销售数据，以预测特定产品的需求，从而使其能够适当备货并最大化销售机会。 然而，必须认识到，预测并不是一门精确的科学。许多因素可能影响预测的准确性，包括意外事件、消费者行为的变化和市场动态的转变。因此，参与预测的人必须不断监测和调整他们的预测，以便根据新数据和新发展进行调整。这种适应能力是提高预测工作可靠性的关键。 此外，科技的进步显著增强了进行预测的能力。大数据分析和机器学习的兴起为分析大量信息提供了新工具，从而导致更准确的预测。利用这些技术的企业能够通过基于复杂的预测模型做出数据驱动的决策，从而获得竞争优势。 总之，预测是一项跨越多个学科的关键实践，提供了指导决策过程的宝贵见解。无论是在经济学、气象学还是商业中，有效的预测使个人和组织能够预见未来趋势并做出明智的选择。在我们继续应对日益复杂的世界时，准确预测的能力将仍然是实现成功的一项重要技能。通过采用预测技术并适应新信息，我们可以更好地为未来做好准备，并应对即将面临的挑战。