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A novel approach for the forecasting of mean hourly wind speed time series

Sfetsos, A. - In: Renewable Energy 27 (2002) 2, pp. 163-174

This paper presents a novel method for the forecasting of mean hourly wind speed data using time series analysis. The … initial point for this approach is mainly the fact that none of the forecasting approaches for hourly data, that can be found … finally proposed methodology is based on the multi-step forecasting of 10 minutes averaged data and the subsequent averaging …

Persistent link: https://www.econbiz.de/10010806846

A comparison of various forecasting techniques applied to mean hourly wind speed time series

Sfetsos, A. - In: Renewable Energy 21 (2000) 1, pp. 23-35

This paper presents a comparison of various forecasting approaches, using time series analysis, on mean hourly wind …

Persistent link: https://www.econbiz.de/10010803768

Comparison of two new short-term wind-power forecasting systems

Ramirez-Rosado, Ignacio J.; Fernandez-Jimenez, L. Alfredo; … - In: Renewable Energy 34 (2009) 7, pp. 1848-1854

This paper presents a comparison of two new advanced statistical short-term wind-power forecasting systems developed by … the wind farm. Both systems are described in detail and the forecasting results compared, revealing great similarities …

Persistent link: https://www.econbiz.de/10011044902

Artificial neural network-based model for estimating the produced power of a photovoltaic module

Mellit, A.; Sağlam, S.; Kalogirou, S.A. - In: Renewable Energy 60 (2013) C, pp. 71-78

In this paper, a methodology to estimate the profile of the produced power of a 50 Wp Si-polycrystalline photovoltaic (PV) module is described. For this purpose, two artificial neural networks (ANNs) have been developed for use in cloudy and sunny days respectively. More than one year of...

Persistent link: https://www.econbiz.de/10011044441

ANFIS-based modelling for photovoltaic power supply system: A case study

Mellit, Adel; Kalogirou, Soteris A. - In: Renewable Energy 36 (2011) 1, pp. 250-258

suitable model for Photovoltaic power supply (PVPS) system. This paper deals with the modelling and simulation of a PVPS system … the modelling of the PVPS system, it is required to find suitable models for its different components (ANFIS PV generator …) has been recorded for the period from 1992 to 1997. These data have been used for the modelling and simulation of the PVPS …

Persistent link: https://www.econbiz.de/10010804362

Modeling and forecasting the mean hourly wind speed time series using GMDH-based abductive networks

Abdel-Aal, R.E.; Elhadidy, M.A.; Shaahid, S.M. - In: Renewable Energy 34 (2009) 7, pp. 1686-1699

MAEs of 1.20m/s and 1.42m/s which are lower than forecasting errors based on day-to-day persistence by 14.6% and 13 …

Persistent link: https://www.econbiz.de/10010805984

Neuro-fuzzy control for autonomous wind–diesel systems using biomass

Jurado, Francisco; Saenz, José R - In: Renewable Energy 27 (2002) 1, pp. 39-56

This paper deals with the development of a neuro-fuzzy controller for a wind–diesel system composed of a stall regulated wind turbine with an induction generator connected to an ac bus-bar in parallel with a diesel generator set having a synchronous generator. A gasifier is capable of...

Persistent link: https://www.econbiz.de/10010806023

Use of neural networks for the creation of hourly global and diffuse solar irradiance data at representative locations in Greece

Moustris, K.; Paliatsos, A.G.; Bloutsos, A.; Nikolaidis, K. - In: Renewable Energy 33 (2008) 5, pp. 928-932

In this work, a new approach is tested by applying neural networks treatment to meteorological time-series data sets, recorded during 1991–2000 at certain Greek locations, in order to create fully appropriate solar data information. Neural networks, in this case, are used for creating missing...

Persistent link: https://www.econbiz.de/10010806943

Maximum power point traking controller for PV systems using neural networks

Bahgat, A.B.G.; Helwa, N.H.; Ahmad, G.E.; El Shenawy, E.T. - In: Renewable Energy 30 (2005) 8, pp. 1257-1268

This paper presents a development and implementation of a PC-based maximum power point tracker (MPPT) for PV system using neural networks (NN). The system consists of a PV module via a MPPT supplying a dc motor that drives an air fan. The control algorithm is developed to use the artificial NN...

Persistent link: https://www.econbiz.de/10010807049

Power optimization of wind turbines with data mining and evolutionary computation

Kusiak, Andrew; Zheng, Haiyang; Song, Zhe - In: Renewable Energy 35 (2010) 3, pp. 695-702

A data-driven approach for maximization of the power produced by wind turbines is presented. The power optimization objective is accomplished by computing optimal control settings of wind turbines using data mining and evolutionary strategy algorithms. Data mining algorithms identify a...

Persistent link: https://www.econbiz.de/10010807120

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