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Developing a three stage coordinated approach to enhance efficiency and reliability of virtual power plants.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-63668-7
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- Article
Two-Stage Hybrid Feature Selection Approach Using Levy's Flight Based Chicken Swarm Optimization for Stock Market Forecasting.
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- Computational Economics, 2024, v. 63, n. 6, p. 2193, doi. 10.1007/s10614-023-10400-8
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- Article
Enhancing stock market forecasting using sequential training network empowered by tunicate swarm optimization.
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- Multimedia Tools & Applications, 2024, v. 83, n. 18, p. 54449, doi. 10.1007/s11042-023-17686-8
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- Article
Using Generative Pre-Trained Transformers (GPT) for Electricity Price Trend Forecasting in the Spanish Market.
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- Energies (19961073), 2024, v. 17, n. 10, p. 2338, doi. 10.3390/en17102338
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A multi-criteria approach to evolve sparse neural architectures for stock market forecasting.
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- Annals of Operations Research, 2024, v. 336, n. 1/2, p. 1219, doi. 10.1007/s10479-023-05715-6
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- Article
Enhancing Stock Market Forecasts with Double Deep Q-Network in Volatile Stock Market Environments.
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- Electronics (2079-9292), 2024, v. 13, n. 9, p. 1629, doi. 10.3390/electronics13091629
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Simulation-based Forecasting for Intraday Power Markets: Modelling Fundamental Drivers for Location, Shape and Scale of the Price Distribution.
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- Energy Journal, 2024, v. 45, n. 3, p. 107, doi. 10.5547/01956574.45.3.shir
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Dual-Attention Based Multi-Path Approach for Intensifying Stock Market Forecasting.
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- Fluctuation & Noise Letters, 2024, v. 23, n. 2, p. 1, doi. 10.1142/S0219477524400091
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- Article
Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model.
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- Fluctuation & Noise Letters, 2024, v. 23, n. 2, p. 1, doi. 10.1142/S0219477524400182
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Forecasting Financial Market Trends in a Complex Business Environment.
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- Fluctuation & Noise Letters, 2024, v. 23, n. 2, p. 1, doi. 10.1142/S0219477524400236
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- Article
Commentary: Apologia pro Forecast Value Added.
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- Foresight: The International Journal of Applied Forecasting, 2024, v. 73, p. 28
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- Article
Contribution to the a priori assessment of the value of the caving zone expansion coefficient in the forecast of ground surface uplift caused by the flooding of closed coal mines in the Ruhr region/Germany.
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- Bulletin of the Polish Academy of Sciences: Technical Sciences, 2024, v. 72, n. 2, p. 1, doi. 10.24425/bpasts.2024.148611
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- Article
Ceramics 3D Printing: A Comprehensive Overview and Applications, with Brief Insights into Industry and Market.
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- Ceramics (2571-6131), 2024, v. 7, n. 1, p. 68, doi. 10.3390/ceramics7010006
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HM-SMF: An Efficient Strategy Optimization using a Hybrid Machine Learning Model for Stock Market Prediction.
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- International Journal of Image & Graphics, 2024, v. 24, n. 2, p. 1, doi. 10.1142/S021946782450013X
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- Article
Stock market forecasting using deep learning with long short-term memory and gated recurrent unit.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2024, v. 28, n. 4, p. 3267, doi. 10.1007/s00500-023-09606-7
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- Article
Kreislaufwirtschaft: Mindestens 20 Jahre warten.
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- Nachrichten aus der Chemie, 2024, v. 72, n. 2, p. 40, doi. 10.1002/nadc.20244138928
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- Article
A case study of Gulf Securities Market in the last 20 years: A Long Short‐Term Memory approach.
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- Statistica Neerlandica, 2024, v. 78, n. 1, p. 136, doi. 10.1111/stan.12309
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- Article
Optimal Data Construction in Supervised Machine Learning for Financial Prediction.
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- Economic Computation & Economic Cybernetics Studies & Research, 2024, v. 58, n. 1, p. 5, doi. 10.24818/18423264/58.1.24.01
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An In-Depth Review of Machine Learning Techniques for Multimodal Stock Market Prediction from an Empirical Perspective.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, p. 702
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- Article
New methods of structural break detection and an ensemble approach to analyse exchange rate volatility of Indian rupee during coronavirus pandemic.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2024, v. 187, n. 1, p. 37, doi. 10.1093/jrsssa/qnad078
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Evaluating the impact of drift detection mechanisms on stock market forecasting.
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- Knowledge & Information Systems, 2024, v. 66, n. 1, p. 723, doi. 10.1007/s10115-023-02025-y
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- Article
Prediction of Stock Market Movement Using Long Short-Term Memory (LSTM) Artificial Neural Network: Analysis of KSE 100 Index.
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- Pakistan Journal of Life & Social Sciences, 2024, v. 22, n. 1, p. 107, doi. 10.57239/PJLSS-2024-22.1.009
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IMPROVING THE STRATEGIES OF THE MARKET PLAYERS USING AN AI-POWERED PRICE FORECAST FOR ELECTRICITY MARKET.
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- Technological & Economic Development of Economy, 2024, v. 30, n. 1, p. 312, doi. 10.3846/tede.2023.20251
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- Article
Prediction Model for Stock Trading using Combined Long Short Term Memory and Neural Prophet with Regressors.
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- International Journal of Intelligent Engineering & Systems, 2023, v. 16, n. 6, p. 956, doi. 10.22266/ijies2023.1231.79
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FORECASTING DEPENDENT TAIL VALUE-AT-RISK BY ARMA-GJR-GARCH-COPULA METHOD AND ITS APPLICATION IN ENERGY RISK.
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- Journal of the Indonesian Mathematical Society, 2023, v. 29, n. 3, p. 382
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A performance comparison of machine learning models for stock market prediction with novel investment strategy.
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- PLoS ONE, 2023, v. 18, n. 9, p. 1, doi. 10.1371/journal.pone.0286362
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- Article
Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method.
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- Energies (19961073), 2023, v. 16, n. 18, p. 6675, doi. 10.3390/en16186675
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- Article
Stock Market Forecasting Based on Spatiotemporal Deep Learning.
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- Entropy, 2023, v. 25, n. 9, p. 1326, doi. 10.3390/e25091326
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The roles of liquidity and delay in financial markets based on an optimal forecasting model.
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- PLoS ONE, 2023, v. 18, n. 9, p. 1, doi. 10.1371/journal.pone.0290869
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- Article
Leveraging Return Prediction Approaches for Improved Value-at-Risk Estimation.
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- Data (2306-5729), 2023, v. 8, n. 8, p. 133, doi. 10.3390/data8080133
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Forecasting New Product Adoption Using S-Curves.
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- Foresight: The International Journal of Applied Forecasting, 2023, n. 70, p. 66
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- Article
Time Series Analysis on Stock Market and Forecasting.
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- Grenze International Journal of Engineering & Technology (GIJET), 2023, v. 9, n. 2, p. 497
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- Article
Fuzzy Gaussian GARCH and Fuzzy Gaussian EGARCH Models: Foreign Exchange Market Forecast.
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- Mexican Journal of Economics & Finance / Revista Mexicana de Economia y Finanzas, 2023, v. 18, n. 3, p. 1, doi. 10.21919/remef.v18i3.855
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- Article
Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model.
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- Statistika: Statistics & Economy Journal, 2023, v. 103, n. 3, p. 342, doi. 10.54694/stat.2023.4
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GRU Neural Network Based on CEEMDAN–Wavelet for Stock Price Prediction.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 12, p. 7104, doi. 10.3390/app13127104
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- Article
Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting †.
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- Energies (19961073), 2023, v. 16, n. 12, p. 4617, doi. 10.3390/en16124617
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- Article
Forecasting the Return of Carbon Price in the Chinese Market Based on an Improved Stacking Ensemble Algorithm.
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- Energies (19961073), 2023, v. 16, n. 11, p. 4520, doi. 10.3390/en16114520
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- Article
Lithium‐ion battery cell production in Europe: Scenarios for reducing energy consumption and greenhouse gas emissions until 2030.
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- Journal of Industrial Ecology, 2023, v. 27, n. 3, p. 964, doi. 10.1111/jiec.13386
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- Article
咸宁市竹加工产业市场分析.
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- Journal of Wildland Fire Science, 2023, v. 41, n. 2, p. 107, doi. 10.3969/j.issn.1002-2511.2023.02.025
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- Article
Improving Stock Market Predictions: An Equity Forecasting Scanner Using Long Short-Term Memory Method with Dynamic Indicators for Malaysia Stock Market.
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- Mathematics (2227-7390), 2023, v. 11, n. 11, p. 2470, doi. 10.3390/math11112470
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Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century.
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- Mathematics (2227-7390), 2023, v. 11, n. 9, p. 2077, doi. 10.3390/math11092077
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Hybrid Human and Machine Learning Algorithms to Forecast the European Stock Market.
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- Complexity, 2023, p. 1, doi. 10.1155/2023/5847887
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Marketing Decision Support System Based on Data Mining Technology.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 7, p. 4315, doi. 10.3390/app13074315
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- Article
Forecasting Secondhand Tanker Price Through Wavelet Neural Networks Based on Adaptive Genetic Algorithm.
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- Information Technology & Control, 2023, v. 52, n. 2, p. 336, doi. 10.5755/j01.itc.52.2.32804
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"Agree to Disagree": Forecasting Stock Market Implied Volatility Using Financial Report Tone Disagreement Analysis.
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- Mathematics (2227-7390), 2023, v. 11, n. 7, p. 1591, doi. 10.3390/math11071591
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An Improved Deep-Learning-Based Financial Market Forecasting Model in the Digital Economy.
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- Mathematics (2227-7390), 2023, v. 11, n. 6, p. 1466, doi. 10.3390/math11061466
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- Article
Stock Market Forecasting with Different Input Indicators using Machine Learning and Deep Learning Techniques: A Review.
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- Engineering Letters, 2023, v. 31, n. 1, p. 213
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The analysis of agricultural Internet of things product marketing by deep learning.
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- Journal of Supercomputing, 2023, v. 79, n. 4, p. 4602, doi. 10.1007/s11227-022-04817-5
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- Article
Multi-Lexicon Classification and Valence-Based Sentiment Analysis as Features for Deep Neural Stock Price Prediction.
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- Sci, 2023, v. 5, n. 1, p. 8, doi. 10.3390/sci5010008
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Investigating Deep Stock Market Forecasting with Sentiment Analysis.
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- Entropy, 2023, v. 25, n. 2, p. 219, doi. 10.3390/e25020219
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- Article