A novel prediction modeling scheme based on multiple information fusion for day-ahead electricity price

Tian, Huixin; Li, Kun; Meng, Bo

doi:10.1109/ccdc.2011.5968490

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…[13] uses DNN to build visibility forecasting system for 39 terminal aerodrome forecast stations in the northwest United States and compared their methods with logistic regression and model output statistics (MOS) derived from the Aviation Model/Global Forecast System. Furthermore, in considering that visibility forecasts are largely time-series dependent, [14], [15] proposed a visibility prediction system using Long-short term memory algorithm(LSTM).Moreover, some methods using multiple models for prediction also appeared, for example, several artificial neural networks are used to fuse the information of data to build a day-ahead electricity price prediction system in [16]; Some researches are done in [17] to value the performance of seven model selection criteria based on linear regression models with unknown noise variance.…”

Section: A Numerical Prediction Of Visibilitymentioning

confidence: 99%

Weather Visibility Prediction Based on Multimodal Fusion

Zhang

Chen

et al. 2019

IEEE Access

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Visibility affects all forms of traffic: roads, sailing, and aviation. Visibility prediction is meaningful in guiding production and life. Different from weather prediction, which relies solely on atmosphere factors, the factors that affect meteorological visibility are more complicated, such as the air pollution caused by factory exhaust emission. However, the current prediction of visibility is mostly based on the numerical prediction method similar to the weather prediction. We proposed a method using multimodal fusion to build a weather visibility prediction system in this paper. An advanced numerical prediction model and a method for emission detection were used to build a multimodal fusion visibility prediction system. We used the most advanced regression algorithm, XGBoost, and LightGBM, to train the fusion model for numerical prediction. Through the estimation of factory emission by the traditional detector in the satellite image, we propose to add the result of estimation based on Landsat-8 satellite images to assist the prediction. By testing our numerical model in atmosphere data of various meteorological observation stations in Beijing-Tianjin-Hebei region from 2002 to 2018, our numerical prediction model turns out to be more accurate than other existing methods, and after fusing with emission detection method, the accuracy of our visibility prediction system has been further improved.

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Section: A Numerical Prediction Of Visibilitymentioning

confidence: 99%

Weather Visibility Prediction Based on Multimodal Fusion

Zhang

Chen

et al. 2019

IEEE Access

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The Electricity Price Prediction of Victoria City Based on Various Regression Algorithms

Orenc

Acar

Özerdem

2022

2022 Global Energy Conference (GEC)

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Environmental Influence on Automatic Landing Error of the Carrier-Borne Aircraft

Zhimin¹,

Gao²

2013

RJASET

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The aim of this study is to analyze the movement model of aircraft carrier and stern flow model under the influence of marine sport. Also, we focus on the influence of marine sports and aft flow on the landing error of the carrier-borne aircraft under the guidance of the automatic landing system in different sea state level by numerical simulation and calculation. The analysis result is meaningful to the aircraft carrier due to the fact that environmental factors have a great influence on the error of carrier-borne aircraft landing on aircraft carrier, especially; marine sports and aft flow always affect the movement of an aircraft carrier and landing process of carrier-borne aircraft.

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A novel prediction modeling scheme based on multiple information fusion for day-ahead electricity price

Cited by 4 publications

References 11 publications

Weather Visibility Prediction Based on Multimodal Fusion

Weather Visibility Prediction Based on Multimodal Fusion

The Electricity Price Prediction of Victoria City Based on Various Regression Algorithms

Environmental Influence on Automatic Landing Error of the Carrier-Borne Aircraft

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