Research graph
References from Informed forecasting: Leveraging auxiliary knowledge to boost large language model performance on time series forecasting. Local targets link to admitted publications; unresolved targets remain external evidence.
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Generative AI and simulation modeling: how should you (not) use large language models like ChatGPT
10.1002/sdr.1773 · 2024 · External reference
ChatGPT for robotics: Design principles and model abilities
10.1109/access.2024.3387941 · 2024 · External reference
Time series forecasting with LLMs: Understanding and enhancing model capabilities
10.1145/3715073.3715083 · 2025 · External reference
10.18653/v1/2023.emnlp-industry.69
10.18653/v1/2023.emnlp-industry.69 · External reference
Modeling the impact of out-of-schema questions in task-oriented dialog systems
10.1007/s10618-024-01039-6 · 2024 · External reference
Explainable deep learning architecture for multivariate time series forecasting
2024 · External reference
Improved fault diagnosis capability in CHBMCs: Counter design for multiple OC switches via an E-SVM unit
10.1109/tpel.2025.3618228 · 2026 · External reference
Dissipativity-based multiport stability root-cause identification and mitigation for solid-state transformers
10.1109/tie.2026.3658639 · 2026 · External reference
PromptCast: A new prompt-based learning paradigm for time series forecasting
10.1109/tkde.2023.3342137 · 2024 · External reference
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Forecasting the future: A comprehensive review of time series prediction techniques
10.52783/jes.1478 · 2024 · External reference
Financial time series forecasting with deep learning: A systematic literature review: 2005–2019
10.1016/j.asoc.2020.106181 · 2020 · External reference
Financial time series forecasting – A deep learning approach
10.18178/ijmlc.2017.7.5.632 · 2017 · External reference
AI in healthcare: Time-series forecasting using statistical, neural, and ensemble architectures
10.3389/fdata.2020.00004 · 2020 · External reference
Using time series simulation tools for assessing the effects of variable renewable energy generation on power and energy systems
10.1002/wene.329 · 2018 · External reference
A time-series framework for supply-chain inventory management
10.1287/opre.51.2.210.12780 · 2003 · External reference
Stock price prediction using the ARIMA model.
10.1109/uksim.2014.67 · 2014 · External reference
Forecasting of demand using ARIMA model
10.1177/1847979018808673 · 2018 · External reference
Forecasting crime using the ARIMA model.
10.1109/fskd.2008.222 · 2008 · External reference
A review and analysis of regression and machine learning models on commercial building electricity load forecasting
10.1016/j.rser.2017.02.023 · 2017 · External reference
Electricity consumption forecasting in Italy using linear regression models
10.1016/j.energy.2009.06.034 · 2009 · External reference
Random forest regression model for estimation of the growing stock volumes in Georgia, USA, using dense landsat time series and FIA dataset
10.3390/rs13020218 · 2021 · External reference
Forest monitoring using landsat time series data: A review
10.1080/07038992.2014.987376 · 2014 · External reference
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
10.1016/j.chaos.2020.110121 · 2020 · External reference
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Large language models are zero-shot time series forecasters.
10.52202/075280-0861 · 2023 · External reference
LLM4TS: Aligning pre-trained LLMs as data-efficient time-series forecasters
10.1145/3719207 · 2025 · External reference
10.1609/aaai.v38i21.30383
10.1609/aaai.v38i21.30383 · External reference
10.1609/aaai.v39i18.34067
10.1609/aaai.v39i18.34067 · External reference
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A doubly stochastic simulator with applications in arrivals modeling and simulation
10.1287/opre.2021.0597 · 2025 · External reference
Another look at measures of forecast accuracy
10.1016/j.ijforecast.2006.03.001 · 2006 · External reference
