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Your search keyword '"Ha-Hyun Jo"' showing total 6 results
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6 results on '"Ha-Hyun Jo"'

1. 'Impact of Photovoltaic Generation Expansion on Korea's Electricity Power System and the Solutions: Focusing on Power System Stability and Supply-and-demand Stability'

Author

Wan-soo Kim and Ha-Hyun Jo

Subjects
Flexibility (engineering), business.industry, Materials Science (miscellaneous), Photovoltaic system, Stability (learning theory), Environmental economics, General Business, Management and Accounting, Industrial and Manufacturing Engineering, Supply and demand, Renewable energy, Electric power system, Electricity market, Electricity, Business and International Management, business
Published
2020

2. Prediction of Special Day’s Hourly Load Using MLP, SVR and RF

Author

Nam，Young Jin, Ha-Hyun Jo, and Joocheol Kim

Subjects
Support vector machine, Artificial neural network, Computer science, business.industry, Load forecasting, Artificial intelligence, Machine learning, computer.software_genre, business, computer, Random forest
Published
2020

6. How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function

Author

Minwoo Jang, Jaehyeok Kim, and Ha-Hyun Jo

Subjects
Polynomial, Population ageing, Control and Optimization, 020209 energy, media_common.quotation_subject, Population, Energy Engineering and Power Technology, 02 engineering and technology, 010501 environmental sciences, lcsh:Technology, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, Econometrics, Economics, Electrical and Electronic Engineering, education, Function (engineering), Engineering (miscellaneous), electricity demand, 0105 earth and related environmental sciences, media_common, Consumption (economics), education.field_of_study, lcsh:T, Renewable Energy, Sustainability and the Environment, business.industry, population polynomials, population aging, electricity demand forecast, Variable (computer science), population age distribution, Electricity, business, Energy (miscellaneous), Panel data
Abstract

Mounting evidence shows that economic and climate variables such as income, energy price, and temperature impact energy demand. We examined another variable, population age distribution, which has rarely been considered, that could affect energy demand. We employ population polynomials to account for the impact of population age distribution on residential electricity consumption in Korea. Using panel data from 1990 to 2016, we verify that populations aged 20~44, and those over 60, raise residential electricity consumption. We additionally evaluate the impact of population age distribution in forecasting future electricity consumption and conclude that age distribution effects dominate total population growth effects.

Published
2020

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