Application of artificial neural network for short term wind speed forecasting

A review of forecasting algorithms and energy management strategies for microgrids

“…Many case studies indicate ANN is an effective tool to simplify the forecasting problem (Alexiadis, Dokopoulos, Sahsamanoglou, & Manousaridis, 1998;Carolin Mabel & Fernandez, 2008;Flores, Tapia, & Tapia, 2005;Kaur, Kumar, & Segal, 2016;Mohandes, Rehman, & Halawani, 1998;Li et al, 2001). The biggest challenge for ANN application in wind power prediction is to select appropriate input variables.…”

“…Mabel et al (Carolin Mabel & Fernandez, 2008) further considered turbine real operational hours as an influencing factor besides normal weather factors (humidity and wind speed), so that the dataset can be more relevant by removing the data generated at abnormal operating hours. Additionally, the forecasting accuracy of the ANN is also affected by the attributes of the ANN, involving the number of hidden layer, neurons and iteration, and training approaches (Kaur et al, 2016). More recently, the probabilistic wind power forecasting has become a new research topic, aiming at estimating confidence interval of the forecasting value with intelligent approaches.…”

Economic and environmental analysis of a hybrid solar, wind and pumped storage hydroelectric energy source: a Polish perspective

“…The introduction of non-dispatchable generation in the form of solar and wind energy sources leads to a situation in which the supply side also starts to vary and this in turn leads to disruptions on the energy market. Numerous papers has been dedicated to the problem of subjugating variable renewable energy sources (VRES) and easing their integration into the energy system by means of: wind speed [8,9] and irradiation [10,11] forecasting, spatial and temporal complementarity of selected energy sources [12,13], hybrid energy sources [14][15], energy storage options [16,17], and demand side management [18]. Delucci and Jacobson [19,20] state that by combining all the approaches described above and employing additional ones it is possible to cover the world energy demand using solar, wind and hydropower.…”

“…But one would have to overcome the same problems which we face nowadays with the integration of RES, namely, their variable and non-dispatchable nature. As has already been mentioned, several approaches [8][9][10][11][12][13][14][15][16][17][18][19][20] can be applied, but the concept which incorporates at least three of them is a hybrid of photovoltaic (solar power), wind turbine and pumped storage hydroelectricity (PV-WT-PSH).Coupled wind and solar power sources tend to exhibit lower variability and it is well known that on an annual time scale they exhibit a strong complementarity [11,12,[21][22][23][24]. The concept of the temporal complementarity of a dual energy source can be explained by means of two sine functions which depict their variation in energy output; in the case of perfect temporal complementarity they will be out of phase with each other by π/2, or in other words they have a very strong (˗1) negative correlation.…”

“…But one would have to overcome the same problems which we face nowadays with the integration of RES, namely, their variable and non-dispatchable nature. As has already been mentioned, several approaches [8][9][10][11][12][13][14][15][16][17][18][19][20] can be applied, but the concept which incorporates at least three of them is a hybrid of photovoltaic (solar power), wind turbine and pumped storage hydroelectricity (PV-WT-PSH).…”