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Forecasting of wind speed and wind power generation is indispensable for the effective operation of a wind farm and the optimal management of revenue and risks. Hybrid forecasting of time series data is considered to be a potentially effective alternative compared with the conventional single forecasting modeling approaches such as autoregressive integrated moving average (ARIMA) and artificial neural...
Rapid voltage fluctuations in an electric power network may produce significant levels of flickers, which have negative impacts on human eyes and power system components. This paper proposes a grey predictor model for the forecast of the flicker severity level associated with operating a large electric arc furnace load. Actual measured flicker index data are adopted to implement the predictor model...
This research presents an extension to the genetic algorithm approach to reducing the Bullwhip effect by investigating the individual efficient or responsive strategy for each member in different online supply chains. Four types of supply chain structure by positioning the decoupling point will be investigated to determine if the genetic algorithm (GA) can help find optimal ordering policy and lead...
The bullwhip effect in supply chains has been observed through a number of previous important works. How to effectively minimise the bullwhip effect, however, remains under-investigated, and is still an open research topic. This paper investigates whether genetic algorithms (GAs) can effectively minimise the bullwhip effect in an efficient-responsive supply chain. To achieve this goal, we established...
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