Forecasting Techniques and Applications
Forecasting Techniques and Applications is a research topic within Management Science and Operations Research. Science Explorer counts 21k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on advances in time series forecasting methods, including topics such as exponential smoothing, machine learning techniques, expert judgment, inventory management, demand forecasting, neural networks, and forecast combination.
- Forecasting
- Time Series
- Exponential Smoothing
- Machine Learning
- Expert Judgment
- Inventory Management
- Demand Forecasting
- Neural Networks
- Prediction Accuracy
- Forecast Combination
- Research works
- 21k fractional, since 1950
- In the world top 10%
- 2.1k per year above
- Top-10% rate
- 10.1% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +77% the tick is no change
- Largest producer
China
23% of the 10 largest, 2022-now
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