Pages that link to "Item:Q2445727"
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The following pages link to Forecasting electricity demand in Japan: a Bayesian spatial autoregressive ARMA approach (Q2445727):
Displaying 7 items.
- An optimized forecasting approach based on grey theory and cuckoo search algorithm: a case study for electricity consumption in New South Wales (Q1722287) (← links)
- Dynamic factors in periodic time-varying regressions with an application to hourly electricity load modelling (Q1927099) (← links)
- The power of weather (Q1927158) (← links)
- Optimal spatial aggregation of space-time models and applications (Q2305309) (← links)
- The seasonal forecast of electricity demand: a hierarchical Bayesian model with climatological weather generator (Q3439744) (← links)
- Space‐Time Model versus VAR Model: Forecasting Electricity demand in Japan (Q4687310) (← links)
- Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects (Q5860915) (← links)