Found: 18
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Execution of synthetic Bayesian model average for solar energy forecasting.
- Published in:
- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 6, p. 1134, doi. 10.1049/rpg2.12389
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- Article
Application of an adaptive Bayesian‐based model for probabilistic and deterministic PV forecasting.
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- IET Renewable Power Generation (Wiley-Blackwell), 2021, v. 15, n. 12, p. 2699, doi. 10.1049/rpg2.12194
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- Article
Effective prediction model for Hungarian small-scale solar power output.
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- IET Renewable Power Generation (Wiley-Blackwell), 2017, v. 11, n. 13, p. 1648, doi. 10.1049/iet-rpg.2017.0165
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- Article
Effective prediction model for Hungarian small‐scale solar power output.
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- IET Renewable Power Generation (Wiley-Blackwell), 2017, v. 11, n. 13, p. 1648, doi. 10.1049/iet-rpg.2017.0165
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- Article
Intelligent Controller Based Wide-Area Control in Power System.
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- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 2017, v. 25, n. 1, p. 1, doi. 10.1142/S0218488517500015
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- Article
Power Distribution Optimization Based on Demand Respond with Improved Multi-Objective Algorithm in Power System Planning.
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- Energies (19961073), 2021, v. 14, n. 10, p. 2961, doi. 10.3390/en14102961
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- Article
Renewable Energy Sources and Battery Forecasting Effects in Smart Power System Performance.
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- Energies (19961073), 2019, v. 12, n. 3, p. 373, doi. 10.3390/en12030373
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- Article
Short-term load forecast of electrical power system by radial basis function neural network and new stochastic search algorithm.
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- International Transactions on Electrical Energy Systems, 2016, v. 26, n. 7, p. 1511, doi. 10.1002/etep.2160
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- Article
Solution of economic load dispatch problem via hybrid particle swarm optimization with time-varying acceleration coefficients and bacteria foraging algorithm techniques.
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- International Transactions on Electrical Energy Systems, 2013, v. 23, n. 8, p. 1504, doi. 10.1002/etep.1674
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- Article
Short Term Wind Power Prediction Based on Improved Kriging Interpolation, Empirical Mode Decomposition, and Closed-Loop Forecasting Engine.
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- Sustainability (2071-1050), 2017, v. 9, n. 11, p. 2104, doi. 10.3390/su9112104
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- Article
Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm.
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- Computational Intelligence, 2018, v. 34, n. 1, p. 241, doi. 10.1111/coin.12145
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- Article
A new stochastic search algorithm bundled honeybee mating for solving optimization problems.
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- Neural Computing & Applications, 2014, v. 25, n. 7/8, p. 1921, doi. 10.1007/s00521-014-1682-1
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- Article
Smart load scheduling strategy utilising optimal charging of electric vehicles in power grids based on an optimisation algorithm.
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- IET Smart Grid, 2020, v. 3, n. 6, p. 914, doi. 10.1049/iet-stg.2019.0334
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- Article
Net demand prediction for power systems by a new neural network-based forecasting engine.
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- Complexity, 2016, v. 21, p. 296, doi. 10.1002/cplx.21807
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- Article
A new metaheuristic algorithm based on shark smell optimization.
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- Complexity, 2016, v. 21, n. 5, p. 97, doi. 10.1002/cplx.21634
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- Article
Multivariable adaptive variable structure disturbance rejection control for DFIG system.
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- Complexity, 2016, v. 21, n. 4, p. 50, doi. 10.1002/cplx.21620
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- Article
Improved time varying inertia weight PSO for solved economic load dispatch with subsidies and wind power effects.
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- Complexity, 2016, v. 21, n. 4, p. 40, doi. 10.1002/cplx.21619
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- Article
A new method for probabilistic assessments in power systems, combining monte carlo and stochastic-algebraic methods.
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- Complexity, 2015, v. 21, n. 2, p. 100, doi. 10.1002/cplx.21582
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- Article