Results 111 to 120 of about 1,024,956 (306)

A state space model for exponential smoothing with group seasonality [PDF]

We present an approach to improve forecast accuracy by simultaneously forecasting a group of products that exhibit similar seasonal demand patterns. Better seasonality estimates can be made by using information on all products in a group, and using these
Rob J. Hyndman, Pim Ouwehand, Karel H. van Donselaar, Ton G. de Kok   +3 more
core  

Seasonal Climate Forecasts and Risk Management Among Georgia Farmers [PDF]

, 2008
Recent increases in the scientific robustness of seasonal climate forecasts have not led to substantial changes in farmers’ risk management strategies of actors, largely because there is poor integration of scientific forecasting into farmers’ decision ...
Hoogenhoom, G., Broad, K., Breuer, N.E, Paz, J., Ingram, K.T, Roncoli, C., Ingram, K.T., Crane, T.A, Breuer, N.E., Crane, T.A., Broad, K, Roncoli, C, Hoogenhoom, G, Paz, J   +13 more
core  

Enhanced biogas production via dual‐layer model predictive control for thermophilic anaerobic digesters

AIChE Journal, EarlyView.
Abstract Thermophilic anaerobic digestion (AD) is an attractive process due to its higher biogas yield compared to mesophilic digestion. To mitigate its higher heating demand and potential process instability, a dual‐layer control architecture comprising a decision‐making layer and an adaptive model predictive control (MPC) system is proposed.
Ali Moradvandi, Mohammad Amin Ghanavati, Merle de Kreuk, Ralph E. F. Lindeboom   +3 more
wiley   +1 more source

Forecasting Moldova’s monthly exports using autoregressive models with seasonal dummies

Cogent Business & Management
Exports significantly influence Moldova’s economic stability and regional integration, particularly due to its agriculture-driven economy characterized by pronounced seasonality.
Zionovia Toaca, Liliana Staver, Alexandru Stratan, Viorica Lopotenco, Victoria Cociug   +4 more
doaj   +1 more source

An assessment of the economic value of using seasonal climate forecasting in water resources management

, 2009
Australia’s water resource systems are suffering from excessive diversion of surface flows with adverse effects on the riverine environments now becoming clearly evident.
Ritchie, John William
core   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Advancing Sub-Seasonal to Seasonal Streamflow Forecasting in Canada: A Review of Conventional and Emerging Approaches for Operational Applications

Results in Engineering
Sub-seasonal to seasonal (S2S) streamflow forecasts play a critical role in the planning and management of water resources for various purposes, such as optimization of hydropower production, ensuring sufficient water supplies for various usages ...
Duc Hai Nguyen, Amin Elshorbagy, Muhammad Naveed Khaliq, Chaopeng Shen, Mohammad Khaled Akhtar, Mohamed Moghairib, Fisaha Unduche, Saman Razavi, Philippe Lamontagne   +8 more
doaj   +1 more source

Skilful forecasting of global fire activity using seasonal climate predictions

Nature Communications, 2018
Societal exposure to large fires has been increasing in recent years and fire forecasting is required for fire management strategies. Here the authors use seasonal climate models to provide skilful predictions of global fire activity.
Marco Turco, Sonia Jerez, Francisco J. Doblas-Reyes, Amir AghaKouchak, Maria Carmen Llasat, Antonello Provenzale   +5 more
doaj   +1 more source

Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals [PDF]

This paper evaluates the performance of prediction intervals generated from alternative time series models, in the context of tourism forecasting. The forecasting methods considered include the autoregressive (AR) model, the AR model using the bias ...
Shen Liu, Haiyang Song, Jae H. Kim, George Athanasopoulos, Kevin Wong   +4 more
core  

Multicenter Validation of Machine Learning Models for Predicting Myopia Progression Across School‐Based Screening and Optical Intervention Settings in Chinese Children and Adolescents

Advanced Intelligent Discovery, EarlyView.
Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang, Mingxuan Liu, Yifei Chen, Ying Wu, Lijun Zhang, Mengyao Guo, Yulan Yan, Runmei Wei, Zihan Cui, Peng Luo, Fang Chen, Bo Yang, Youcang Han, Xiaoyang Liu, Qiyuan Tian   +14 more
wiley   +1 more source