• Title/Summary/Keyword: 전력량 예측

Search Result 310, Processing Time 0.03 seconds

High-speed Intra Prediction Method for H.264/AVC (H.264/A VC의 고속 인트라 예측 방법)

  • Yun Hong-Jun;Seo Young-Ho;Choi Hyun-Jun;Kim Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.10 no.7
    • /
    • pp.1172-1179
    • /
    • 2006
  • Recently, the H.264/AVC, which was standardized jointly by ISO/IEC and ITU-T, has been expanding its applications in various areas. This standard includes many advanced component techniques compared to the existing MPEG techniques. Intra prediction which is to predict the spatial data in an intra frame in one of them. But it has a serious defect that it needs large amount of calculation. To overcome this defect, this paper proposed a method to reduce about 60% of the amount of calculation with only O.02dB of image quality degradation. This method determines the calculation directly without much pre-calc cluation process by referring the left block(s) and upper blocks(s) that were processd already. Comparing to the exi sting methods, its image quality degradation is so small that it is expected to be used in many areas. Especially in the wireless appliances such as DMB phone which has restricted power source, we expect it would be used efficiently.

Analysis and improvement of transfer power capability considering movable load charging of EV (전기자동차 충전부하의 이동성을 고려한 전송 전력량의 해석 및 개선)

  • Kim, Deok Young
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.18 no.12
    • /
    • pp.762-767
    • /
    • 2017
  • This paper presents an analysis for improving the power transfer capability in transmission lines caused by the movable load charging of electric vehicles (EVs). EVs are expected to be used more widely and replace gas fuel vehicles in the near future due to the shortage of fossil fuels and for environmental preservation. Movable load charging of EVs could lead to the convergence of transferred power flow and overloading conditions in transmission lines in a specific area of a power system, which is conventionally based on estimated fixed load capability. To analyze these conditions, the New England Test System was divided into four regions based on the load characteristics, and different charging scenarios were considered. In these scenarios, the regional power load was highly increased to 31% based on the standard charging capacity of an EV. As a solution to the overloading problem of transmission lines, a TCSC was installed serially on the overloaded line to directly control the transferred power under limited line capability (100% load capability). The simulation showed that the application of a few TCSCs could efficiently and economically control the line capability problem caused by movable load charging of EVs.

The Numerical Analysis of Two-Dimensional Electrokinetic Remediation Characteristics Dependent on Electrode Configurations (전극배치에 따른 2차원적 동전기 정화 특성의 수치해석)

  • Kim, Soo Sam;Han, Sang Jae;Kim, Byung Ill
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.26 no.5C
    • /
    • pp.291-301
    • /
    • 2006
  • In this study the characteristics of electrokinetic remediation, which is dependent on a various electrode configuration, was predicted from 2-D numerical analysis program (HERO-2D). Based on the predicted results for one dimensional and two dimensional electrode configurations, the optimized electrode configuration was determined by analyzing remediation efficiency, consumed electric power, installation cost of electrode and so on. When proposed electrode configurations were applied for in-situ remediation of the soils contaminated by heavy metals, the electrode configuration of high remediation efficiency should be chosen in case the high removal effect would be required, and one dimensional electrode configuration should be chosen in case the hard field works would be expected. Because the rectangular electrode configuration is better than others for consumed electric power, remediation efficiency per unit power, installation cost of electrode and so on, it can obtain the best results for the cost reduction.

Energy-Efficient Operation Simulation of Factory HVAC System based on Machine Learning (머신러닝 기반 공장 HVAC 시스템의 에너지 효율화 운영 시뮬레이션)

  • Seok-Ju Lee;Van Quan Dao
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.29 no.2
    • /
    • pp.47-54
    • /
    • 2024
  • The global decrease in traditional energy resources has prompted increasing energy demand, necessitating efforts to replace and optimize energy sources. This study focuses on enhancing energy efficiency in manufacturing plants, known for their high energy consumption. Through simulations and analyses, the study proposes a temperature-based control system for HVAC (Heating, Ventilating, and Air Conditioning) operations, utilizing machine learning algorithms to predict and optimize factory temperatures. The results indicate that this approach, particularly the prediction-based free cooling algorithm, can achieve over 10% energy savings compared to existing systems. This paper presents that implementing an efficient HVAC control system can significantly reduce overall factory energy consumption, with plans to apply it to real factories in the future.

플랜트의 장수명화 및 열화대책 - 경수로의 기술고도화

  • 한국원자력산업회의
    • Nuclear industry
    • /
    • v.5 no.2 s.24
    • /
    • pp.45-49
    • /
    • 1985
  • 원자력발전소는 다중방호의 개념에서 복수의 안전설비를 갖는 등 계통이 팽대하고 복잡하며 또한 엄격한 품질관리를 실시하므로 다른 발전형식에 비해 건설비가 높은 편이다. 따라서 설비의 유효이용을 도모하는 것이 중요하다. 이와 같은 관점에서 앞으로 기설발전소의 장수명화를 도모하고, 전수명기간의 발전전력량을 증대시킴으로서 원자력발전 코스트를 다른 발전코스트보다 유리하게 하는 것도 가능하다. 장수명화를 실현시키기 위해서는 수명평가상 중요한 구조기기의 노화진단기술, 수명예측방법 및 수명을 좌우하고 교환이 곤란한 기기$\cdot$시스템의 보수기술$\cdot$공법 등에 관한 기술개발이 중요한 과제이다.

  • PDF

A Study on Short-Term Prediction of Supplied Electrical Power using Chaos Fuzzy Controller (카오스 퍼지 제어기를 이용한 전력소요량의 단기예측에 관한 연구)

  • 추연규;정대균
    • Journal of the Korean Institute of Navigation
    • /
    • v.24 no.3
    • /
    • pp.147-155
    • /
    • 2000
  • In this paper, we propose the Chaos Fuzzy controller to analyze the chaotic character of time series obtained from the specific plant and to predict the short-term for power consumption of the plant using the Fuzzy controller. We compared the predicted data with the active ones and checked the error generated by them after we time series of supplied power to the proposed controller. As a result of the simulation, we obtained a admirable consequence that the proposed controller can be advanced through various and accurate data acquisition, and continuous analysis of the resident and industrial environment.

  • PDF

Potential Electrical Energy Saving by Stand-by Power Measurement (대기전력 측정을 통한 절전 잠재량 예측)

  • 최재원;장우진
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
    • /
    • 1999.11a
    • /
    • pp.253-255
    • /
    • 1999
  • We measured stand-by power of electrical machinery and appliance which are used at office and house. And we estimated potential electrical energy saving through stand-by power and the expecting number of supplied apparatus. As a result, We can reduce electrical energy by minimizing a stand-by power consumption up to three billion kWh which are equal to about 1/3 of an atomic power plant's generating power of 1 year.

  • PDF

A Study on hardware implementing the digital switch board system within door using Artificial intelligence. (인공지능형 가정용 배전반 시스템의 구현)

  • 이주원;이재현;조병일;이상배
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 1998.10a
    • /
    • pp.522-526
    • /
    • 1998
  • 본 논문은 가정용 배전반 시스템을 디지털식으로 구현하고, 기존의 디지털식 배전반 시스템에 없는 월 수요전력량 예측과 화재발생의 원인 중에 하나인 옥내 전선선로의 결함을 신경회로망으로 검출하여 차단하는 인공지능형 가정용 배전반 시스템을 하드웨어로 구현하고 실험하였으며, 그 결과를 제시하였다.

  • PDF

Backpropagation Algorithm based Fault Detection Model of Solar Power Generation using Weather Data and Solar Power Generation Data (기후데이터와 태양광발전 데이터를 이용한 역전파 알고리즘 기반 패널 결함 검출 방법)

  • Lee, Seung Min;Lee, Woo Jin
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2015.04a
    • /
    • pp.795-797
    • /
    • 2015
  • 태양광발전의 단점 중 하나인 불규칙 전력 생산문제로 인해, 장비 및 패널 결함에 실시간 대응하지 못하는 문제가 발생한다. 태양광패널 결함을 자동 검출하기 위해 기후데이터 및 패널 정보를 이용하여 신경망에 적용하고 역전과 알고리즘을 통해 학습하는 발전량 예측 및 실시간 결함 검출 모델을 제안한다.

A Change of Usage Pattern as the DR implementing time zone varies (상시수요관리 시행 시간대에 따른 전력 사용 패턴 변화)

  • Park, Sang-Hoo;Choi, Seung-Hwan;Ko, Jong-Min;Noh, Jae-Koo
    • Proceedings of the KIEE Conference
    • /
    • 2011.07a
    • /
    • pp.644-645
    • /
    • 2011
  • 상시수요관리 시행 시간대 변동에 따른 주요 고객의 인센티브 변화를 CBL과 절감량을 중심으로 4, 5월 비교를 통하여 살펴보고자 한다. CBL은 인센티브 금액에 결정적 영향을 미치면서 평균 사용량에 의해 결정되며 고객의 조작이 가능하기 때문에 절감량 뿐만 아니라 CBL도 중요한 의미를 가진다. 결과적으로 시간대 변경이 CBL의 의미 있는 패턴 변화를 가져오지 않는 것으로 관찰되었고, 또한 당일 사용량 패턴에도 큰 변화를 보이지 않았다. 하지만 절감량은 전기요금 단가가 가장 저렴한 경부하 시간대를 기준으로 감소 패턴을 확인할 수 있었다. 따라서 판매회사 입장에서는 예측SMP 급등에 따른 상시수요관리 시행시 그 시간대가 경부하 시간대에 근접할수록 가장 효과적인 상시수요관리가 이루어지는 것으로 나타났다.

  • PDF