Works about LOAD forecasting (Electric power systems)
Results: 1256
Enhancing Electricity Load Forecasting with Machine Learning and Deep Learning.
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- Technologies (2227-7080), 2025, v. 13, n. 2, p. 59, doi. 10.3390/technologies13020059
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A load forecasting model based on support vector regression with whale optimization algorithm.
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- Multimedia Tools & Applications, 2023, v. 82, n. 7, p. 9939, doi. 10.1007/s11042-022-13462-2
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Fake news detection system based on modified bi-directional long short term memory.
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- Multimedia Tools & Applications, 2022, v. 81, n. 17, p. 24199, doi. 10.1007/s11042-022-12772-9
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Stochastic Model of Conditional Non-stationary Time Series of the Wind Chill Index in West Siberia.
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- Methodology & Computing in Applied Probability, 2022, v. 24, n. 3, p. 1467, doi. 10.1007/s11009-021-09861-x
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MULTI-STEP FORWARD FORECASTING OF ELECTRICAL POWER GENERATION IN LIGNITE-FIRED THERMAL POWER PLANT.
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- SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi, 2021, v. 9, n. 1, p. 1, doi. 10.21923/jesd.837788
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Effects of COVID-19 on electric energy consumption in Turkey and ANN-based short-term forecasting.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2021, v. 29, n. 1, p. 78, doi. 10.3906/elk-2006-29
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Time series forecasting on multivariate solar radiation data using deep learning (LSTM).
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2020, v. 28, n. 1, p. 211, doi. 10.3906/elk-1907-218
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Robust power system state estimation by appropriate selection of tolerance for the least measurement rejected algorithm.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2019, v. 27, n. 4, p. 2898, doi. 10.3906/elk-1712-252
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基于3σ-CEEMDAN-LSTM的空间负荷预测方法.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2023, v. 43, n. 3, p. 159, doi. 10.16081/j.epae.202208016
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计及EV负荷-风电异质场景集的交直流混合 配电网多目标分布式协同优化.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 10, p. 218, doi. 10.16081/j.epae.202208028
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基于MMoE 多任务学习和长短时记忆网络的 综合能源系统负荷预测.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 7, p. 33, doi. 10.16081/j.epae.202204083
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计及广义负荷不确定性和激励型需求响应的 电力现货市场竞价方法.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 7, p. 76, doi. 10.16081/j.epae.202205048
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基于模型预测控制的主动配电网多场景 变时间尺度优化调度.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 4, p. 121, doi. 10.16081/j.epae.202201001
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基于Attention-BiLSTM神经网络和气象数据 修正的短期负荷预测模型.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 4, p. 172, doi. 10.16081/j.epae.202112017
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基于R 藤Copula-DBN 时空相关性建模的 风光荷功率概率预测.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 3, p. 113, doi. 10.16081/j.epae.202112021
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Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port.
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- Scientific Journal of Maritime Research, 2020, v. 34, n. 2, p. 363, doi. 10.31217/p.34.2.17
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Cloud Model-Based Fuzzy Inference System for Short-Term Traffic Flow Prediction.
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- Mathematics (2227-7390), 2023, v. 11, n. 11, p. 2509, doi. 10.3390/math11112509
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Hybrid Deep Learning Applied on Saudi Smart Grids for Short-Term Load Forecasting.
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- Mathematics (2227-7390), 2022, v. 10, n. 15, p. 2666, doi. 10.3390/math10152666
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Mathematical Modeling and Short-Term Forecasting of the COVID-19 Epidemic in Bulgaria: SEIRS Model with Vaccination.
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- Mathematics (2227-7390), 2022, v. 10, n. 15, p. 2570, doi. 10.3390/math10152570
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A Stacking Learning Model Based on Multiple Similar Days for Short-Term Load Forecasting.
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- Mathematics (2227-7390), 2022, v. 10, n. 14, p. N.PAG, doi. 10.3390/math10142446
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A Two-Stage Hybrid Extreme Learning Model for Short-Term Traffic Flow Forecasting.
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- Mathematics (2227-7390), 2022, v. 10, n. 12, p. 2087, doi. 10.3390/math10122087
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Electricity Spot Price Forecast by Modelling Supply and Demand Curve.
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- Mathematics (2227-7390), 2022, v. 10, n. 12, p. 2012, doi. 10.3390/math10122012
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Wind Speed Prediction via Collaborative Filtering on Virtual Edge Expanding Graphs.
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- Mathematics (2227-7390), 2022, v. 10, n. 11, p. 1943, doi. 10.3390/math10111943
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A Multi-View Ensemble Width-Depth Neural Network for Short-Term Wind Power Forecasting.
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- Mathematics (2227-7390), 2022, v. 10, n. 11, p. 1824, doi. 10.3390/math10111824
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Numerical Studies of Channel Management Strategies for Nonstationary Immersion Environments: EURUSD Case Study.
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- Mathematics (2227-7390), 2022, v. 10, n. 9, p. 1408, doi. 10.3390/math10091408
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Forecasting of Electrical Energy Consumption in Slovakia.
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- Mathematics (2227-7390), 2022, v. 10, n. 4, p. N.PAG, doi. 10.3390/math10040577
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A VMD–CISSA–LSSVM Based Electricity Load Forecasting Model.
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- Mathematics (2227-7390), 2022, v. 10, n. 1, p. 28, doi. 10.3390/math10010028
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Hour-Ahead Photovoltaic Output Forecasting Using Wavelet-ANFIS.
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- Mathematics (2227-7390), 2021, v. 9, n. 19, p. 2438, doi. 10.3390/math9192438
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Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models.
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- Sakarya University Journal of Science (SAUJS) / Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022, v. 26, n. 1, p. 91, doi. 10.16984/saufenbilder.982639
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虚拟 CPU 负载预测算法性能评估.
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- Telecommunication Engineering, 2022, v. 62, n. 4, p. 445, doi. 10.3969/j.issn.1001-893x.2022.04.006
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Particle Swarm Optimization-Enhanced Twin Support Vector Regression for Wind Speed Forecasting.
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- Journal of Intelligent Systems, 2019, v. 28, n. 5, p. 905, doi. 10.1515/jisys-2017-0378
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Randomization and Entropy in Machine Learning and Data Processing.
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- Doklady Mathematics, 2022, v. 105, n. 3, p. 135, doi. 10.1134/S1064562422030073
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Data Driven Building Electricity Consumption Model Using Support Vector Regression.
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- Journal of Engineering & Technological Sciences, 2021, v. 53, n. 3, p. 93, doi. 10.5614/j.eng.technol.sci.2021.53.3.13
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COMPARISON OF SHORT-TERM FORECASTING METHODS OF ELECTRICITY CONSUMPTION IN MICROGRIDS .
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- Radio Electronics, Computer Science, Control, 2023, n. 1, p. 14, doi. 10.15588/1607-3274-2023-1-2
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Optimizing electric load forecasting with support vector regression/LSTM optimized by flexible Gorilla troops algorithm and neural networks a case study.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-73893-9
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Short-term natural gas load forecasting based on EL-VMD-Transformer-ResLSTM.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-70384-9
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Gün Öncesi Piyasasında Elektrik Enerjisi Fiyatının Veri Analizi İle Tahmin Edilmesi.
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- Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022, v. 12, n. 4, p. 2075, doi. 10.21597/jist.1082880
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Türkiye'de Kentleşmenin Enerji Tüketimi ve Karbon Salınımı Üzerine Etkisi.
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- Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2019, v. 9, n. 3, p. 1559, doi. 10.21597/jist.548294
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COMPARATIVE ANALYSIS OF METHODS FOR SIMULATING THE WELL OPERATION WITH ELECTRIC SUBMERSIBLE PUMP INSTALLATIONS.
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- Periódico Tchê Química, 2019, v. 16, n. 32, p. 621, doi. 10.52571/ptq.v16.n32.2019.639_periodico32_pgs_621_632.pdf
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An evolutionary-based adaptive neuro-fuzzy inference system for intelligent short-term load forecasting.
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- International Transactions in Operational Research, 2014, v. 21, n. 2, p. 311, doi. 10.1111/itor.12046
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SHORT-TERM LOAD FORECASTING OF REGIONAL INTEGRATED ENERGY SYSTEM.
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- Neural Network World, 2021, n. 6, p. 415, doi. 10.14311/NNW.2021.31.023
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Short‐term photovoltaic power forecasting with adaptive stochastic configuration network ensemble.
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- WIREs: Data Mining & Knowledge Discovery, 2022, v. 12, n. 6, p. 1, doi. 10.1002/widm.1477
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Data mining for energy systems: Review and prospect.
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- WIREs: Data Mining & Knowledge Discovery, 2021, v. 11, n. 4, p. 1, doi. 10.1002/widm.1406
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Efficient estimation of load‐free left ventricular geometry and passive myocardial properties using principal component analysis.
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- International Journal for Numerical Methods in Biomedical Engineering, 2020, v. 36, n. 3, p. 1, doi. 10.1002/cnm.3313
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A Novel NODE Approach Combined with LSTM for Short-Term Electricity Load Forecasting.
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- Future Internet, 2023, v. 15, n. 1, p. 22, doi. 10.3390/fi15010022
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Short-Term Photovoltaic Power Forecasting Based on a Novel Autoformer Model.
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- Symmetry (20738994), 2023, v. 15, n. 1, p. 238, doi. 10.3390/sym15010238
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An Unsupervised Multi-Dimensional Representation Learning Model for Short-Term Electrical Load Forecasting.
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- Symmetry (20738994), 2022, v. 14, n. 10, p. N.PAG, doi. 10.3390/sym14101999
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A Metaheuristics-Based Inputs Selection and Training Set Formation Method for Load Forecasting.
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- Symmetry (20738994), 2022, v. 14, n. 8, p. 1733, doi. 10.3390/sym14081733
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Short-Term Energy Forecasting Using Machine-Learning-Based Ensemble Voting Regression.
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- Symmetry (20738994), 2022, v. 14, n. 1, p. 160, doi. 10.3390/sym14010160
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Hybrid Ensemble Deep Learning-Based Approach for Time Series Energy Prediction.
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- Symmetry (20738994), 2021, v. 13, n. 10, p. 1942, doi. 10.3390/sym13101942
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