• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.806-814
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• 2023

Purpose: According to the Occupational Safety and Health Act of the Ministry of Employment and Labor, in order to prevent industrial accidents, the right to stop work must be exercised in the event of an imminent danger. This study conducted a fact-finding survey on whether employers fulfilled the right to suspend work in the workplace when an imminent danger, such as a typhoon, was encountered. Method: For two days from August 9 to October, when the impact of Typhoon Khanun No. 6 was significant, it was confirmed by wire whether or not the work suspension was carried out at the workplace, and the subjects of the survey were 1,649 construction sites, 830 manufacturing sites, and 278 other industries, for a total of 2,757 sites. Result: As a result of the fact-finding survey, 56% (1,555 locations) on August 9th and 77% (2,142 locations) on August 10th carried out full or partial work suspension. In particular, on August 10, when the typhoon landed, 40% of all workplaces completely stopped work. Conclusion: Through this study, it was confirmed that the right to suspend work by employers is being used in actual workplaces. In the future, when there is an imminent danger, in addition to the right to suspend work, flexible and telecommuting, working hour adjustments, etc. must be actively used to ensure the safety of workers and protect their lives.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.229-256
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• 2023

The increase in telecommuting and household electricity demand due to the pandemic has led to significant changes in electricity demand patterns. This has led to difficulties in identifying KEPCO's PPA (power purchase agreements) and residential solar power generation and has added to the challenges of electricity demand forecasting and grid operation for power exchanges. Unlike other energy resources, electricity is difficult to store, so it is essential to maintain a balance between energy production and consumption. A shortage or overproduction of electricity can cause significant instability in the energy system, so it is necessary to manage the supply and demand of electricity effectively. Especially in the Fourth Industrial Revolution, the importance of data has increased, and problems such as large-scale fires and power outages can have a severe impact. Therefore, in the field of electricity, it is crucial to accurately predict the amount of power generation, such as renewable energy, along with the exact demand for electricity, for proper power generation management, which helps to reduce unnecessary power production and efficiently utilize energy resources. In this study, we reviewed the renewable energy generation forecasting system, its objectives, and practical applications to construct optimal aggregated power resources using data from 169 power plants provided by the Ministry of Trade, Industry, and Energy, developed an aggregation algorithm considering the settlement of the forecasting system, and applied it to the analytical logic to synthesize and interpret the results. This study developed an optimal aggregation algorithm and derived an aggregation configuration (Result_Number 546) that reached 80.66% of the maximum settlement amount and identified plants that increase the settlement amount (B1783, B1729, N6002, S5044, B1782, N6006) and plants that decrease the settlement amount (S5034, S5023, S5031) when aggregating plants. This study is significant as the first study to develop an optimal aggregation algorithm using aggregated power resources as a research unit, and we expect that the results of this study can be used to improve the stability of the power system and efficiently utilize energy resources.