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Fractal-Based Robotic Trading Strategies Using Detrended Fluctuation Analysis and Fractional Derivatives: A Case Study in the Energy Market.

• Authors : Popovska, Ekaterina¹ (AUTHOR) ; Georgieva-Tsaneva, Galya¹ (AUTHOR)

• Source: Fractal & Fractional. Jan2025, Vol. 9 Issue 1, p5. 27p.

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A New Hybrid Intelligent Method for Accurate Short Term Electric Power Production Forecasting from Uncertain Renewable Energy Resources.

• Authors : Memarzadeh, Gholamreza¹ ; Keynia, Farshid²; Amirteimoury, Faezeh³

Subjects: *ELECTRIC power production forecasting; *LONG short-term memory; *BOX-Jenkins forecasting

• Source: International Journal of Industrial Electronics Control & Optimization. Mar2025, Vol. 8 Issue 1, p45-55. 11p.

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Natural Gas Consumption Forecasting Based on Homoheterogeneous Stacking Ensemble Learning.

• Authors : Wang, Qingqing¹ (AUTHOR) ; Luo, Zhengshan¹ (AUTHOR) ; Li, Pengfei² (AUTHOR)

Subjects: *NATURAL gas consumption; *ARTIFICIAL neural networks; *BOX-Jenkins forecasting

• Source: Sustainability (2071-1050). Oct2024, Vol. 16 Issue 19, p8691. 19p.

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Fusion of Hierarchical Optimization Models for Accurate Power Load Prediction.

• Authors : Wan, Sicheng^1,2 (AUTHOR); Wang, Yibo¹ (AUTHOR); Zhang, Youshuang^1,3 (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *ENERGY management; *AUTOREGRESSIVE models

• Source: Sustainability (2071-1050). Aug2024, Vol. 16 Issue 16, p6903. 23p.

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A Novel Bézier LSTM Model: A Case Study in Corn Analysis.

• Authors : Zhao, Qingliang¹ (AUTHOR) ; Chen, Junji¹ (AUTHOR) ; Feng, Xiaobin¹ (AUTHOR)

• Source: Mathematics (2227-7390). Aug2024, Vol. 12 Issue 15, p2308. 20p.

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Particle Swarm Optimization and Long Short Term Memory Algorithms for Financial Brand Data Prediction under Internet of Things.

• Authors : ZHENG-SHUN SHEN^1,2 ; HUAI-BIN LI¹

Subjects: *LONG short-term memory; *SHORT-term memory; *PARTICLE swarm optimization

• Source: Journal of Information Science & Engineering. Jul2024, Vol. 40 Issue 4, p827-847. 21p.

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Enhancing Water Management: A Comparative Analysis of Time Series Prediction Models for Distributed Water Flow in Supply Networks.

• Authors : Pires, Carlos^1,2 (AUTHOR) ; Martins, Mónica V.^1,3 (AUTHOR)

Subjects: *TIME series analysis; *WATER management; *PREDICTION models

• Source: Water (20734441). Jul2024, Vol. 16 Issue 13, p1827. 16p.

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Predicting Stock Prices Using Hybrid LSTM and ARIMA Model.

• Authors : Chi Ma¹ ; Jie Wu² ; Hui Hu¹

• Source: IAENG International Journal of Applied Mathematics. Mar2024, Vol. 54 Issue 3, p424-432. 9p.

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Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model.

• Authors : Wang, Zhende¹ (AUTHOR); Wang, Yongbin² (AUTHOR); Zhang, Shengkui³ (AUTHOR)

• Source: BMC Infectious Diseases. 1/22/2024, Vol. 24 Issue 1, p1-15. 15p.

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Studies on predicting soil moisture levels at Andhra Loyola College, India, using SARIMA and LSTM models.

• Authors : Kumar, M. Tanooj¹ (AUTHOR) ; Rao, M. C.² (AUTHOR)

Subjects: *SOIL moisture; *BOX-Jenkins forecasting; *STANDARD deviationsINDIA

• Source: Environmental Monitoring & Assessment. Dec2023, Vol. 195 Issue 12, p1-18. 18p.

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