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The economic value of seasonal forecast
1998The probabilistic nature of seasonal forecasts is utilized to quantify its economic value. This depends on the end user - for some an ability to forecast probability that are only marginally different from climatology might be useful, for others such probabilities might be worthless.
Palmer, T.N. +2 more
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Short-Term Seasonal Energy Forecasting
2018 IEEE International Conference on Electro/Information Technology (EIT), 2018Load Forecasting is an important tool used to predict future electrical utility data in a Smart Grid. Forecasting uses past data to predict trends for future energy usage. This paper investigates the application of exponential smoothing, ARIMA and recursive neural networks in TensorFlow on utility data taken from 20 different US Utility zones over four
Reilly Kedrowski +3 more
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Through this dissertation, we contributed to the advancement and applicability of seasonal climate forecasts in agriculture and water management sectors.
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Forecasting Air Quality in China Using Novel Self-Adaptive Seasonal Grey Forecasting Models
Grey Systems Theory and Application, 2021Song Ding, Dang Yaoguo, Xiaoyue Zhu
exaly
Sub-seasonal to seasonal ensemble streamflow forecasting using a Handoff forecast LSTM
Despite recent advances in operational streamflow forecasting systems, anticipating and forecasting droughts and associated low-flow conditions remain major challenges in hydrology, with substantial impacts on water-dependent sectors such as agriculture and industry.Zoë Jack +4 more
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Time-Series Forecasting of Seasonal Items Sales Using Machine Learning – A Comparative Analysis
International Journal of Information Management Data Insights, 2022Saman Hassanzadeh Amin, Bharat Shāh
exaly
Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages
International Journal of Forecasting, 2004Charles C. Holt
exaly

