[PDF][PDF] 딥러닝을 이용한 주요항만별 LNG 벙커링 수요예측 연구

채기영, 이철용 - 한국기후변화학회지, 2022 - jccr.re.kr
Environmental regulations on ship exhaust emissions are being strengthened by the
International Maritime Organization (IMO) and the Korean government. Stakeholders …

A Comparative Analysis of Time Series Forecasting Methods for Short-Term Electricity Demand Prediction

AR Kim, D Park, CS Lee… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Energy demand is exploding worldwide. Accordingly, there is a growing interest in methods
for maximizing energy use efficiency. Electricity demand forecasting is a technique of …

Enhancing Summer Electricity Demand Forecasting Using Fourier Transform-Based Time Variables

JH Shin, HU Seol, HB Jo, JK Jo, SJ Kim… - Journal of The Korea …, 2024 - koreascience.kr
In the summer, when the cooling load rises due to high temperatures, the hourly demand
increases during the day and is relatively less at night compared to the day. These …

푸리에 변환 기반 시간변수를 이용한 하계 전력수요 예측

신재호, 설현욱, 조한별, 조종권, 김성주… - 한국컴퓨터정보학회 …, 2024 - dbpia.co.kr
높은 기온으로 인해 냉방부하가 상승하는 하절기의 낮에는 시간당 전력 수요가 증가하고
밤에는 낮에 비해 상대적으로 전력수요가 적은 특징을 보인다. 이러한 특징은 하계 전력 수요 …

도서지역 부하패턴 분석을 위한 군집화 방법

도경택, 손영건, 황성욱, 김성열 - 전기학회논문지 P, 2021 - dbpia.co.kr
Currently, most island regions have independent microgrids composed of distributed power
sources, including renewable energy, and there are many restrictions on implementing …