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We apply the tests to time series load and spot price data from New South Wales (NSW), Queensland (QLD), Victoria (VIC) and South Australia (SA). In applying the various tests The portmanteau correlation, bicorrelation and tricorrelation test statistics in moving time windows framework We ...
Furthermore, in comparison to studies that investigate carbon pass-through rates in European or US markets, our study is conducted in an almost unique environment: since the NEM operates as a gross pool market, where all electricity has to be traded through the exchange, there is hardly any ...
In South Australia, disruption events appear to have been introduced into the electricity supply through major increases in use of wind and solar electricity generation, and Australian electricity prices have increased dramatically over the last decade. Wind power provides about 35% of tota...
The comparison results of the computational overhead of each scheme in the initialization phase (analyzing the overhead incurred by pseudo-identity and public–private key generation of n users and public–private key generation of TA and KGC, assuming that literature [18], [22], [24] is ...
AS-GCLSSVM A novel conformable fractional grey model in opposite direction (CFGOM(1,1)) A novel seasonal model combined with the data-restacking technique (DR-SFGM) SFANGBM(1,1) Electricity load demand data of New South Wales (NSW), Victoria (VIC) and Queensland (QLD) in Australia. Mo...
Figure 5. Graphical comparison of forecasting results based on the proposed IDPSO-VMD-MLP approach and the actual electricity price values. Figure 6. Graphical comparison of forecasting results based on the proposed IDPSO-VMD-XGB approach and the actual electricity price values. Table 2. BOA ...