[HTML][HTML] Stochastic generation of synthetic minutely irradiance time series derived from mean hourly weather observation data

JM Bright, CJ Smith, PG Taylor, R Crook - Solar Energy, 2015 - Elsevier
Synthetic minutely irradiance time series are utilised in non-spatial solar energy system
research simulations. It is necessary that they accurately capture irradiance fluctuations and …

La habitabilidad como variable de diseño de edificaciones orientadas a la sostenibilidad.

RAC González, J Trujillo… - Revista de …, 2014 - revistadearquitectura.ucatolica.edu …
Hoy, el crecimiento poblacional y el cambio climático afectan la óptima habitabilidad de las
edificaciones. Por tanto, un mal diseño ocasiona que la habitabilidad no responda a los …

Short-term wind power prediction based on a hybrid markov-based PSO-BP neural network

CH Wang, Q Zhao, R Tian - Energies, 2023 - mdpi.com
Wind power prediction is an important research topic in the wind power industry and many
prediction algorithms have recently been studied for the sake of achieving the goal of …

High dimensional dependence in power systems: A review

EN Martinez, N Cutululis, P Sørensen - Renewable and Sustainable …, 2018 - Elsevier
Weather-driven renewable generation is characterized by being uncertain and
geographically dependent. In this regard, the recent deployment of wind and solar power …

Short-term wind speed forecasting based on hybrid MODWT-ARIMA-Markov model

MU Yousuf, I Al-Bahadly, E Avci - IEEE Access, 2021 - ieeexplore.ieee.org
Markov chains (MC) are statistical models used to predict very short to short-term wind
speed accurately. Such models are generally trained with a single moving window …

Some improvements of wind speed Markov chain modeling

J Tang, A Brouste, KL Tsui - Renewable Energy, 2015 - Elsevier
In this study, the traditional Markov chain method for wind speed modeling is analyzed and
two improvements are introduced. New states categorization step and wind speeds …

Research on the generation method of missing hourly solar radiation data based on multiple neural network algorithm

H Li, X He, Y Hu, W Lv, L Yang - Energy, 2024 - Elsevier
Solar radiation is an essential meteorological parameter for building energy efficiency
analysis, and the quality of the data directly affects the analysis results. This paper …

Improvement of methods of obtaining urban TMY and application for building energy consumption simulation

H Li, Y Huo, Y Fu, Y Yang, L Yang - Energy and Buildings, 2023 - Elsevier
In the development process of building energy conservation design, the correct provision of
local Typical Meteorological Year (TMY) data is a prerequisite and basic work to evaluate …

Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements

EFM Abreu, P Canhoto, V Prior, R Melicio - Renewable Energy, 2018 - Elsevier
This work addresses the solar resource assessment through long-term statistical analysis
and typical weather data generation with different time resolutions, using measurements of …

Generation of typical meteorological years using genetic algorithm for different energy systems

ALS Chan - Renewable Energy, 2016 - Elsevier
Computer simulation plays an important role in investigating the thermal/energy
performance of buildings and energy systems. In order to reduce the computational time and …