Dissatisfaction Cost Minimization-Based Decentralized Demand Response Approach Considering ISO’s Operation Requirements
暂无分享,去创建一个
[1] L. Goel,et al. Reliability enhancement of a deregulated power system considering demand response , 2006, 2006 IEEE Power Engineering Society General Meeting.
[2] Neven Duić,et al. Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns , 2018, Energy Conversion and Management.
[3] Hanchen Xu,et al. Power System Parameter Attack for Financial Profits in Electricity Markets , 2020, IEEE Transactions on Smart Grid.
[4] O. Alsaç,et al. DC Power Flow Revisited , 2009, IEEE Transactions on Power Systems.
[5] Fushuan Wen,et al. Day-Ahead Congestion Management in Distribution Systems Through Household Demand Response and Distribution Congestion Prices , 2014, IEEE Transactions on Smart Grid.
[6] Kangping Li,et al. Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation , 2019, Applied Energy.
[7] J. Mathieu,et al. Comparing Centralized and Decentralized Contract Design Enabling Direct Load Control for Reserves , 2016, IEEE Transactions on Power Systems.
[8] Hanchen Xu,et al. The values of market-based demand response on improving power system reliability under extreme circumstances , 2017 .
[9] Mohammad Yusri Hassan,et al. Probabilistic wind power forecasting using weather ensemble models , 2018, 2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS).
[10] Paul McNamara,et al. Hierarchical Demand Response for Peak Minimization Using Dantzig–Wolfe Decomposition , 2015, IEEE Transactions on Smart Grid.
[11] Hanchen Xu,et al. Fundamentals and business model for resource aggregator of demand response in electricity markets , 2020 .
[12] Muhammad Babar,et al. The Evaluation of Agile Demand Response: An Applied Methodology , 2018, IEEE Transactions on Smart Grid.
[13] J. Catalão,et al. A minutely solar irradiance forecasting method based on real-time sky image-irradiance mapping model , 2020, Energy Conversion and Management.
[14] Meng Liu,et al. A Collaborative Design of Aggregated Residential Appliances and Renewable Energy for Demand Response Participation , 2015, IEEE Transactions on Industry Applications.
[15] Zhaohao Ding,et al. Stochastic Resource Planning Strategy to Improve the Efficiency of Microgrid Operation , 2014, IEEE Transactions on Industry Applications.
[16] João P. S. Catalão,et al. A Decentralized Electricity Market Scheme Enabling Demand Response Deployment , 2018, IEEE Transactions on Power Systems.
[17] Long Zhao,et al. The Impact of Time-of-Use (TOU) Rate Structure on Consumption Patterns of the Residential Customers , 2017, IEEE Transactions on Industry Applications.
[18] Masood Parvania,et al. Demand Response Scheduling by Stochastic SCUC , 2010, IEEE Transactions on Smart Grid.
[19] Paras Mandal,et al. Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes , 2019, 2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS).
[20] Na Li,et al. An optimization-based demand response in radial distribution networks , 2012, 2012 IEEE Globecom Workshops.
[21] Farrokh Rahimi,et al. Demand Response as a Market Resource Under the Smart Grid Paradigm , 2010, IEEE Transactions on Smart Grid.
[22] Shan Gao,et al. Security-Based Active Demand Response Strategy Considering Uncertainties in Power Systems , 2017, IEEE Access.
[23] Amir Safdarian,et al. A Distributed Algorithm for Managing Residential Demand Response in Smart Grids , 2014, IEEE Transactions on Industrial Informatics.
[24] Fei Wang,et al. Meta-Heuristic Optimization Based Two-stage Residential Load Pattern Clustering Approach Considering Intra-cluster Compactness and Inter-cluster Separation , 2019, 2019 IEEE Industry Applications Society Annual Meeting.
[25] M. Shahidehpour,et al. Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming , 2005, IEEE Transactions on Power Systems.
[26] Fei Wang,et al. Day-ahead Market Optimal Bidding Strategy and Quantitative Compensation Mechanism Design for Load Aggregator Engaging Demand Response , 2019, 2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS).
[27] Fei Wang,et al. Optimal Scheduling of Demand Response in Pre-Emptive Markets Based on Stochastic Bilevel Programming Method , 2019, IEEE Transactions on Industrial Electronics.
[28] Pierluigi Siano,et al. Contribution of emergency demand response programs in power system reliability , 2016 .
[29] Fei Wang,et al. Synchronous Pattern Matching Principle-Based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description , 2018, IEEE Transactions on Smart Grid.
[30] Fei Wang,et al. Smart Households’ Aggregated Capacity Forecasting for Load Aggregators Under Incentive-Based Demand Response Programs , 2020, IEEE Transactions on Industry Applications.
[31] Zhao Zhen,et al. A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework , 2020 .
[32] Zhao Zhen,et al. Deep Learning Based Surface Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image , 2020, IEEE Transactions on Industry Applications.
[33] Hamed Mohsenian Rad,et al. Towards Building an Optimal Demand Response Framework for DC Distribution Networks , 2014, IEEE Transactions on Smart Grid.