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Load forecasting using holt-winters method
The global demand for energy is increasing daily due to the constant growing of the civilization with the expansion of energy infrastructure and the addition of new needs. This load increments added to fossil fuels crisis and the global economic crisis, arises the need to minimize both the electricity consumption and the economic expenditure [1][2]. The National Grids operates the transmission network that connects power stations to electricity consumers. Is also responsible for balancing the demand and supply system and ensuring that power stations will be able to provide electricity in case of an unanticipated increase in electricity [3]. As energy cannot be stored it must be generated according to demand, in order to avoid both the wastage of energy sources as the economic one. [4] So, this is what this Thesis is about, study different algorithms capable of predicting load consumption.
Load forecasting using holt-winters method
The global demand for energy is increasing daily due to the constant growing of the civilization with the expansion of energy infrastructure and the addition of new needs. This load increments added to fossil fuels crisis and the global economic crisis, arises the need to minimize both the electricity consumption and the economic expenditure [1][2]. The National Grids operates the transmission network that connects power stations to electricity consumers. Is also responsible for balancing the demand and supply system and ensuring that power stations will be able to provide electricity in case of an unanticipated increase in electricity [3]. As energy cannot be stored it must be generated according to demand, in order to avoid both the wastage of energy sources as the economic one. [4] So, this is what this Thesis is about, study different algorithms capable of predicting load consumption.
Load forecasting using holt-winters method
Cunill Cols, Sergi (author) / Spagnuolo, Giovani
2018-02-23
Theses
Electronic Resource
English
DDC:
690
Application of a Novel Optimized Fractional Grey Holt-Winters Model in Energy Forecasting
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