'
전력 사업자의 수익 최대화를 위한 수급 균형 방법 = A Supply-Demand Balance Approach for Profit Maximization of Electric Operator' 의 주제별 논문영향력
논문영향력 요약
주제
Demand Response
Third-party operator
smart-grid
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
89
0
0.0%
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
Demand Response
16
0
0.0%
Third-party operator
1
0
0.0%
smart-grid
72
0
0.0%
계
89
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
'
전력 사업자의 수익 최대화를 위한 수급 균형 방법 = A Supply-Demand Balance Approach for Profit Maximization of Electric Operator' 의 참고문헌
[74] House Electricity Consumption Coefcient. Accessed: Aug. 6, 2018. [Online]. Available: http://kosis.kr/statHtml/statHtml.do?orgId=310&tbl Id=DT_3664N_1
[73] The Korea Southern Power Plant Unied Development Information. Accessed: Aug. 6, 2018. [Online]. Available: https://www.data.go.kr/dataset/15000962/leData.do?lang=en
[72] Peer-to-Peer Solar Energy Trading: A Guide. Accessed: Aug. 6, 2018. [Online]. Available: https://www.energymatters.com.au/misc/peer-topeer ?solar-energy-trading-guide/
[71] Solar Electricity Costs. Accessed: Aug. 6, 2018. [Online]. Available: http://solarcellcentral.com/cost_page.html
[70] Average Retail Electricity Prices in the U.S. From 1990 to 2018. Accessed: Aug. 6, 2018. [Online]. Available: https://www.statista.com/statistics/183700/us-average-retail-electricityprice-since-1990/
[69] Green Power Exchange Review: Peer-to-Peer Energy Trading via Blockchain. Accessed: Jun. 20, 2018. [Online]. Available: https://www.crypto-reporter.com/news/green-power-exchange-review-3670/
[63] EssPro-Battery Energy Storage, ABB, Lima, Peru, 2017.
[61] Lithium-Ion Battery Costs and Market, Bloomberg, New York, NY, USA, 2017.
[2] A. Eller and A. Dehamna, "Residential Energy Storage," Navigant Research, Published 2Q, 2016.
[1] D. Gauntlett, and M. Lawrence, "Solar PV Market Forecasts,Navigant Research, Published 3Q, 2013.
[2013]
[132] Yano, H., Kudo, K., Ikegami, T., Iguchi, H., Kataoka, K., & Ogimoto, K. (2012, January). A novel charging-time control method for numerous EVs based on a period weighted prescheduling for power supply and demand balancing. In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) (pp. 1-6). IEEE.
Validation of faster joint control strategy for battery-and supercapacitor-based energy storage system
65 ( 4 ) , 3286-3295 .[2017]
Time series analysis : forecasting and control .
[2015]
Three improved neural network models for air quality forecasting
20 ( 2 ) , 192-210 .[2003]
The relationship between summer weather and summer loads-a regression analysis
11 ) , 1144-1154 .[1966]
The New and Improved Power Grid : A Survey
14 ( 944-980 ) .[2012]
Support vector machines for wind speed prediction
29 ( 6 ) , 939-947[2004]
Study on long-term load forecasting of MIXSVM based on principal component analysis .
[2009]
Study on long-term load forecasting of MIX-SVM based on rough set theory .
38 ( 13 ) , 31-34 .[2010]
Stochastic security and risk-constrained scheduling for an autonomous microgrid with demand response and renewable energy resources
11 ( 14 ) , 1812-1821[2017]
Spatiotemporal modeling of wind generation for optimal energy storage sizing .
6 ( 1 ) , 113-121 .[2014]
Solar power shaping : An analytical approach
6 ( 1 ) , 162-170 .[2014]
Smart ( in-home ) power scheduling for demand response on the smart grid . In ISGT 2011
pp . 1-7[2011]
Sizing of an energy storage system for grid inertial response and primary frequency reserve
31 ( 5 ) , 3447-3456[2015]
Short-term load forecasting
75 ( 12 ) , 1558-1573 .[1987]
Sequential minimal optimization algorithm applied in short-term load forecasting . In 2007 InternationalConference on Machine Learning andCybernetics
Vol . 5 , pp . 2479-2483[2007]
Seer grid : Privacy and utility implications of two-level load prediction in smart grids
28 ( 2 ) , 546-557[2016]
Review of energy storage allocation in power distribution networks : applications , methods and future research
10 ( 3 ) , 645-652 .[2016]
Regularized least squares fuzzy support vector regression for financial time series forecasting
36 ( 1 ) , 132-138 .[2009]
Recurrent neural network based gating for natural gas load prediction system
[2006]
Real-time pricing and electricity market design
[2012]
Real-time power balancing in electric grids with distributed storage
8 ( 6 ) , 1167-1181[2014]
Real-time demand side management for a microgridConsidering uncertainties
10 ( 3 ) , 3401-3414[2018]
Real time pricing and electricity markets
7[2009]
Quadratic programming models for fuzzy regression . In Proceedings of internationalConference on mathematical and statistical modeling in honor of EnriqueCastillo
[2006]
Properties ofCertain fuzzy linear regression methods
64 ( 3 ) , 361-375 .[1994]
Probabilistic forecast of PV power generation based on higher order MarkovChain
32 ( 4 ) , 2942-2952[2016]
Proactive frequencyControl based on ultra-short-term power fluctuation forecasting for high renewables penetrated power systems
13 ( 12 ) , 2166-2173 .[2019]
PowerCrisis in Rajasthan : Strategies to attain sustainable development
4 ( 3 ) , 291-294[2011]
PowerConsumption scheduling for peak load reduction in smart grid homes
[2011]
Power-quality monitoring of a PV generator .
13 ( 2 ) , 188-193 .[1998]
Potential-function basedControl of a microgrid in islanded and grid-connected modes
25 ( 4 ) , 1883-1891 .[2010]
Possibilistic linear systems and their application to the linear regression model
27 ( 3 ) , 275-289[1988]
Performance validation of battery management system under prediction error for photovoltaic based distribution system
12 ( 6 ) , 702-717[2018]
Optimized day-ahead pricing for smart grids with device-specific scheduling flexibility
30 ( 6 ) , 1075-1085[2012]
Optimal sizing of substation-scale energy storage station considering seasonal variations in wind energy
10 ( 13 ) , 3241-3250[2016]
Optimal sizing of storage system in a fast charging station for plug-in hybrid electric vehicles
2 ( 4 ) , 443-453[2016]
Optimal power dispatch of multi-microgrids at future smart distribution grids
6 ( 4 ) , 1648-1657 .[2015]
Optimal planning of storage in power systems integrated with wind power generation
7 ( 1 ) , 232-240[2015]
Optimal planning and operation of energy storage systems in radial networks for wind power integration with reserve support
10 ( 8 ) , 2019-2025[2016]
Optimal control policies for power demand scheduling in the smart grid
30 ( 6 ) , 1049-1060[2012]
Optimal allocation of energy storage systems for voltage control in LV distribution networks
8 ( 6 ) , 2859-2870[2016]
Optimal Energy Management and Sizing of a Battery -- Supercapacitor-Based Light Rail Vehicle With a Multiobjective Approach
52 ( 4 ) , 3367-3377 .[2016]
Optimal ESS allocation for load management application
30 ( 1 ) , 327-336 .[2014]
Optimal ESS allocation for benefit maximization in distribution networks
8 ( 4 ) , 1668-1678[2015]
Operating mechanism for profit improvement of a smart microgrid based on dynamic demand response
2 ( 3 ) , 364-370[2019]
On demand response management performance optimization for microgrids under imperfect communication constraints
4 ( 4 ) , 881-893 .[2017]
Novel adaptive multi-clustering algorithm-based optimal ESS sizing in ship power system considering uncertainty
33 ( 1 ) , 307-316[2017]
Note on fuzzy regression
37 ( 1 ) , 65-75 .[1990]
Nonparametric regression based short-term load forecasting .
13 ( 3 ) , 725-730 .[1998]
Nonlinear prediction of chaotic time series using support vector machines . In Neural Networks for Signal Processing VII .
[1997]
Neural networks for short-term load forecasting : A review and evaluation
16 ( 1 ) , 44-55 .[2001]
Neural Network and DSM techniques applied to a Industrial consumer a Case Study
[2007]
Multiobjective intelligent energy management for a microgrid
60 ( 4 ) , 1688-1699 .[2012]
Multi-layered clustering for power consumption profiling in smart grids
5 , 18459-18468 .[2017]
Modified support vector machines in financial time series forecasting
48 ( 1-4 ) , 847-861 .[2002]
Modeling and valuation of residential demand flexibility for renewable energy integration
8 ( 6 ) , 2565-2574[2016]
Modeling and prediction of Turkey¡¯s electricity consumption using artificial neural networks
50 ( 11 ) , 2719-2727 .[2009]
Modeling and forecasting short-term electricity load : A comparison of methods with an application to Brazilian data
Forecasting , 24 ( 4 ) , 630-644 .[2008]
Modeling and forecasting short-term electric load demand : a two-step methodology . Pontificia Universidade Catolica do Rio de Janeiro
495[2005]
Modeling and forecasting hourly electric load by multiple linear regression with interactions .
[2010]
Modeling and forecasting electricity loads : A comparison
pp . 135-142 ) .[2004]
Mixed-integer linear model for transmission expansion planning with line losses and energy storage systems
7 ( 8 ) , 919-928[2013]
Machine learning based integrated feature selection approach for improved electricity demand forecasting in decentralized energy systems
7 , 91463-91475 .[2019]
Local storage meets local demand : a technical solution to future power distribution system
10 ( 3 ) , 704-711[2016]
Load forecastingin Applied Mathematics for Restructured Electric Power Systems
pp . 269-285[2005]
Load estimation for load monitoring at distribution substations
20 ( 1 ) , 164-170 .[2005]
Load commitment in a smart home
96 , 45-54 .[2012]
Load adaptive pricing : An emerging tool for electric utilities
27 ( 2 ) , 320-329 .[1982]
Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data
42 ( 1-2 ) , 47-72 .[2003]
Lifetime evaluation of grid-connected PV inverters considering panel degradation rates and installation sites
33 ( 2 ) , 1225-1236[2017]
Life prediction model for grid-connected Li-ion battery energy storage system .
[2017]
Joint energy management system of electric supply and demand in houses and buildings
29 ( 6 ) , 2804-2812 .[2014]
Impact of strategic behavior and ownership of energy storage on provision of flexibility
7 ( 2 ) , 744-754[2015]
Hybrid optimization for economic deployment of ESS in PV-integrated EV charging stations
14 ( 1 ) , 106-116 .[2017]
Hybrid energy storage system with active power-mix control in a dual-chemistry battery pack for light electric vehicles
3 ( 3 ) , 600-617 .[2017]
Hybrid electric excursion ships power supply system based on a multiple energy storage system
From packet to power switching : Digital direct load scheduling
30 ( 6 ) , 1027-1036[2012]
Forecasting electricity demand using generalized long memory
22 ( 1 ) , 17-28 .[2006]
Forecast of electricity consumption and economic growth in Taiwan by state space modeling
34 ( 11 ) , 1779-1791[2009]
Flexible operation of batteries in power system scheduling with renewable energy
7 ( 2 ) , 685-696[2015]
Estimating temperature profiles for short-term load forecasting : neural networks compared to linear models .
151 ( 4 ) , 543-547 .[2004]
Energy trading system in microgrids with future forecasting and forecasting errors .
6 , 44094-44106 .[2018]
Energy storage sizing taking into account forecast uncertainties and receding horizon operation
8 ( 1 ) , 331-340[2016]
Electric load forecasting : literature survey and classification of methods
33 ( 1 ) , 23-34 .[2002]
Dynamic support vector machines for non-stationary time series forecasting
6 ( 1 ) , 67-83 .[2002]
Drift-aware methodology for anomaly detection in smart grid
7 , 9645-9657[2019]
Distributed real-time power balancing in renewable-integrated power grids with storage and flexible loads .
7 ( 5 ) , 2337-2349[2015]
Distributed demand response and user adaptation in smart gridsIn 12th IFIP/IEEE International Symposium on Integrated Network Management ( IM 2011 ) and Workshops
pp . 726-729[2011]
Distributed agent consensus-based optimal resource management for microgrids
9 ( 1 ) , 443-452[2017]
Dimensioning methodology for energy storage devices and wave energy converters supplying isolated loads .
10 ( 10 ) , 1468-1476 .[2016]
Development of a Markov-chain-based energy storage model for power supply availability assessment of photovoltaic generation plants
4 ( 2 ) , 491-500[2012]
Design considerations of a centralized load controller using thermostatically controlled appliances for continuous regulation reserves
4 ( 2 ) , 914-921[2012]
Design and implementation of an on-line load forecasting algorithm
( 9 ) , 3284-3289 .[1982]
Demand-side management by regulating charging and discharging of the EV , ESS , and utilizing renewable energy
14 ( 1 ) , 117-126 .[2017]
Demand-response management for dependable power grids . In Embedded Systems for Smart Appliances and Energy Management
pp . 1-22[2013]
Demand response with functional buildings using simplified process models
[2011]
Demand response in US electricity markets : Empirical evidence
35 ( 4 ) , 1526-1535 .[2010]
Demand response for smart microgrid : Initial results . In ISGT 2011
pp . 1-6[2011]
Demand management and Wireless Sensor Networks in the smart grid
[2011]
Data-driven photovoltaic power production nowcasting and forecasting for polygeneration microgrids
12 ( 3 ) , 2842-2853 .[2017]
Data clustering : a review
31 ( 3 ) , 264-323 .[1999]
Coupon incentive-based demand response : Theory and case study
28 ( 2 ) , 1266-1276[2012]
Cooptimization of storage system sizing and control strategy for intelligent photovoltaic power plants market integration
7 ( 4 ) , 1749-1761[2016]
Control and size energy storage systems for managing energy imbalance of variable generation resources
6 ( 1 ) , 70-78 .[2014]
Comparative review and discussion on P2P electricity trading
128 , 3-9[2017]
Communication limitations in iterative real time pricing for power systems
[2011]
Combination of artificial neural-network forecasters for prediction of natural gas consumption
11 ( 2 ) , 464-473 .[2000]
Can Producers Apply a Capacity Cutting Strategy to Increase Prices ? The Case of the England and Wales Electricity Market . The Case of the England and Wales Electricity Market
465 ) .
Battery ESS planning for wind smoothing via variable-interval reference modulation and self-adaptive SOC control strategy
8 ( 2 ) , 695-707 .[2016]
Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid
1 ( 3 ) , 320-331[2010]
Artificial neural networks for energy analysis of office buildings with daylighting
87 ( 2 ) , 551-557 .[2010]
Application of support vector machines in financial time series forecasting
29 ( 4 ) , 309-317 .[2001]
Application of support vector machine in lake water level prediction
11 ( 3 ) , 199-205[2006]
Application of ANN and DSM techniques for peak load management a case study
pp . 169-174[2008]
An optimal and distributed demand response strategy with electric vehicles in the smart grid
5 ( 2 ) , 861-869[2014]
An innovative RTP-based residential power scheduling scheme for smart grids . In 2011 IEEE International Conference on Acoustics , Speech and Signal Processing ( ICASSP )
pp . 5956-5959[2011]
An MPC-based ESS control method for PV power smoothing applications
33 ( 3 ) , 2136-2144 .[2017]
An Introduction to Support Vector Machines : And Other Kernel-based Learning Methods
[2000]
Aggregate domestic demand modelling for the next day direct load control applications
8 ( 7 ) , 1306-1317[2014]
Adaptive short-term forecasting of hourly loads using weather information .
( 5 ) , 2085-2094 .[1972]
Active load control in islanded microgrids based on the grid voltage
2 ( 1 ) , 139-151[2010]
A versatile clustering method for electricity consumption pattern analysis in households
4 ( 2 ) , 1048-1057 .[2013]
A study on neural networks for short-term load forecasting . In Proceedings of the First International Forum on Applications of Neural Networks to Power Systems
pp . 26-30[1991]
A stochastic sizing approach for sharing-based energy storage applications
8 ( 3 ) , 1075-1084 .[2015]
A smooth transition periodic autoregressive ( STPAR ) model for short-term load forecasting .
24 ( 4 ) , 603-615 .[2008]
A regression-based approach to short-term system load forecasting .
5 ( 4 ) , 1535-1547 .[1990]
A probabilistic risk-based approach for spinning reserve provision using day-ahead demand response program
35 ( 5 ) , 1908-1915 .[2010]
A probabilistic method combining electrical energy storage and real-time thermal ratings to defer network reinforcement
8 ( 1 ) , 374-384 .[2016]
A primer on neural networks for forecasting .
16 ( 3 ) , 17 .[1997]
A pattern recognition technique for structural identification using observed vibration signals : Nonlinear case studies
30 ( 5 ) , 1417-1423[2008]
A method for sizing energy storage system to increase wind penetration as limited by grid frequency deviations
31 ( 1 ) , 729-737[2015]
A hybrid support vector machine regression for exchange rate prediction
17 ( 2 ) , 19-32[2006]
A comparative analysis of optimal sizing of battery-only , ultracapacitor-only , and battery ? ultracapacitor hybrid energy storage systems for a city bus
64 ( 10 ) , 4449-4460 .[2014]
A chance constrained optimal reserve scheduling approach for economic dispatch considering wind penetration
4 ( 2 ) , 186-194[2017]
A Bi-Level Capacity Optimization of an Isolated Microgrid With Load Demand Management Considering Load and Renewable Generation Uncertainties
7 , 83074-83087[2019]
'
전력 사업자의 수익 최대화를 위한 수급 균형 방법 = A Supply-Demand Balance Approach for Profit Maximization of Electric Operator'
의 유사주제(
) 논문