Publicaciones (36) Publicaciones de DANIEL VILLANUEVA TORRES

2024

  1. NSGA-II based short-term building energy management using optimal LSTM-MLP forecasts

    International Journal of Electrical Power and Energy Systems, Vol. 159

2023

  1. Intelligent energy storage management trade-off system applied to Deep Learning predictions

    Journal of Energy Storage, Vol. 61

  2. Load Forecasting with Machine Learning and Deep Learning Methods

    Applied Sciences (Switzerland), Vol. 13, Núm. 13

2022

  1. Machine Learning and Deep Learning Models Applied to Photovoltaic Production Forecasting

    Applied Sciences (Switzerland), Vol. 12, Núm. 17

  2. Modeling and Simulation of Household Appliances Power Consumption

    Applied Sciences (Switzerland), Vol. 12, Núm. 7

2021

  1. Optimization of the electrical demand of an existing building with storage management through machine learning techniques

    Applied Sciences (Switzerland), Vol. 11, Núm. 17

  2. Simulation of wind speeds with spatio‐temporal correlation

    Applied Sciences (Switzerland), Vol. 11, Núm. 8

  3. Towards dc energy efficient homes

    Applied Sciences (Switzerland), Vol. 11, Núm. 13

2020

  1. A review on wind turbine deterministic power curve models

    Applied Sciences (Switzerland), Vol. 10, Núm. 12, pp. 1-15

  2. Effects of adding batteries in household installations: Savings, efficiency and emissions

    Applied Sciences (Switzerland), Vol. 10, Núm. 17

  3. Methods to apply a 3-parameter logistic model to wind turbine data

    Applied Sciences (Switzerland), Vol. 10, Núm. 9

2019

  1. A Strategy for Power Generation Optimization in a Hybrid Wind-BESS Power Plant

    E3S Web of Conferences

  2. A review on hybrid empirical mode decomposition models for wind speed and wind power prediction

    Energies, Vol. 12, Núm. 2

  3. Interior Point Algorithm Applied to the Optimization of the Power Supplied by a Wind Farm with a BESS

    E3S Web of Conferences

2018

  1. A novel and alternative approach for direct and indirectwind-power prediction methods

    Energies, Vol. 11, Núm. 11

  2. Comparison of logistic functions for modeling wind turbine power curves

    Electric Power Systems Research, Vol. 155, pp. 281-288

  3. Wind turbine power curves based on theweibull cumulative distribution function

    Applied Sciences (Switzerland), Vol. 8, Núm. 10

2017

  1. Contributions to wind farm power estimation considering wind direction-dependent wake effects

    Wind Energy, Vol. 20, Núm. 2, pp. 221-231

  2. Four-Parameter Models for Wind Farm Power Curves and Power Probability Density Functions

    IEEE Transactions on Sustainable Energy, Vol. 8, Núm. 4, pp. 1783-1784

  3. Wind Farm Power Distribution Function Considering Wake Effects

    IEEE Transactions on Power Systems, Vol. 32, Núm. 4, pp. 3313-3314