A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance
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DOI: 10.1002/env.2700
Abstract: The authors thank the King Abdullah City for Atomic and Renewable Energy (K.A.CARE) for providing the solar irradiance observational dataset. read more here.
Keywords: irradiance; cyclostationary model; temporal forecasting; forecasting simulation ... See more keywords
Spatial-temporal forecasting of tourism demand
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DOI: 10.1016/j.annals.2018.12.024
Abstract: Abstract This study conducts spatial-temporal forecasting to predict inbound tourism demand in 29 Chinese provincial regions. Eight models are estimated among a-spatial models (autoregressive integrated moving average [ARIMA] model and unobserved component model [UCM]) and… read more here.
Keywords: forecasting tourism; tourism demand; temporal forecasting; spatial temporal ... See more keywords
SARMoistX: temporal forecasting of vegetation moisture using SAR imagery
Sign Up to like & getrecommendations! Published in 2025 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2025.2486446
Abstract: ABSTRACT Accurate vegetation moisture estimation is essential for wildfire prediction, climate modeling, and ecosystem monitoring. However, traditional ground-based methods lack scalability and fail to provide continuous spatial coverage, presenting a critical research gap in large-scale… read more here.
Keywords: forecasting vegetation; vegetation; sarmoistx temporal; vegetation moisture ... See more keywords
Causal Intervention Is What Large Language Models Need for Spatio-Temporal Forecasting
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DOI: 10.1109/tcyb.2025.3569333
Abstract: Spatio-temporal forecasting plays a crucial role in the dynamic perception of smart cities, such as traffic flow prediction, renewable energy forecasting, and load prediction. Its objective is to understand the patterns of spatio-temporal changes under… read more here.
Keywords: large language; causal intervention; language; spatio temporal ... See more keywords
Integration of Encoding and Temporal Forecasting: Toward End-to-End NO x Prediction for Industrial Chemical Process.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3276593
Abstract: Forecasting NO x concentration in fluid catalytic cracking (FCC) regeneration flue gas can guide the real-time adjustment of treatment devices, and then furtherly prevent the excessive emission of pollutants. The process monitoring variables, which are… read more here.
Keywords: forecasting toward; temporal forecasting; prediction; encoding temporal ... See more keywords