Many countries and researchers are interested in load forecasting due to its significance. The results of load forecasting are an indispensable basis for electricity planning and investment plan for the power system in the future. In addition, short-term load forecasting is also a mandatory requirement in proactively developing business and system operation plan of units in power sector. When the SARIMA(p,d,q)(P,D,Q)S model is used for load forecasting in Hanoi, the results ensure forecast accuracy, feasibility of available data as well as the software's ease of use. SARIMA model can also be used in load forecasting in other provinces and cities in Vietnam or used for electricity forecasting. With the research sample from 2019 to 2021, the model SARIMA(0,1,6)(0.1,1)24 and (0,1,7)(0.1,1) 24 are used for short-term load forecasting in term of typical working day and day-off in Hanoi.
Underground power grid projects in Hanoi is so urgent that it requires immediate implementation. To synchronously and quickly implement the underground power grid projects, people in charge should not follow the outdated perspectives of just including the power industry, but also need to call for the support and cost sharing responsibility from consumers. This paper aims at approaching the subject both from the producers and consumers’ perspectives to together sharing the cost of putting the power grid underground not only in Hanoi but other metropolitans in Vietnam as well. Field studies (including 104 families) at Hoan Kiem District, Hanoi and CBA method were applied to investigate the willingness to pay (WTP) level of consumers to share the cost with the power industry for the underground power grid projects in Hanoi. The overview of the results shows that cost for the underground power grid in Hoan Kiem District ranging from 30,000 VND/household/month to 46,000VND/household/month. On the other hand, the willingness to pay of a typical household of four people within Hoan Kiem District ranges from 17,000VND/month to 24,000VND/month, with the most favorable method of annual payment within a detailed timeline.
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