A fuzzy-based customer response prediction model for a day-ahead dynamic pricing system
暂无分享,去创建一个
[1] Fei Wang,et al. Comparative Study on KNN and SVM Based Weather Classification Models for Day Ahead Short Term Solar PV Power Forecasting , 2017 .
[2] Eugénia Vinagre,et al. Electrical Energy Consumption Forecast Using External Facility Data , 2015, 2015 IEEE Symposium Series on Computational Intelligence.
[3] Nadeem Javaid,et al. A new heuristically optimized Home Energy Management controller for smart grid , 2017 .
[4] Juan M. Corchado,et al. Electrical Energy Consumption Forecast Using Support Vector Machines , 2016, 2016 27th International Workshop on Database and Expert Systems Applications (DEXA).
[5] Bing Dong,et al. Market and behavior driven predictive energy management for residential buildings , 2018 .
[6] Kun Yang,et al. An income-based real-time pricing algorithm under uncertainties in smart grid , 2016, 2016 8th Computer Science and Electronic Engineering (CEEC).
[7] Temitope Raphael Ayodele,et al. Price based demand side management: A persuasive smart energy management system for low/medium income earners , 2015 .
[8] Song Guo,et al. Big Data Analytics for Price Forecasting in Smart Grids , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[9] Abdul,et al. Electric Energy Management Modeling for Kingdom of Bahrain , 2015 .
[10] Jae-Seob Lee,et al. A Method for Data-mining of Defects on Building Façade Elements , 2016 .
[11] Faisal Tariq,et al. Empirical analysis of real time pricing mechanisms for demand side management: contemporary review , 2016, 2016 Fifth International Conference on Future Generation Communication Technologies (FGCT).
[12] Zhigang Lu,et al. Modelling dynamic demand response for plug-in hybrid electric vehicles based on real-time charging pricing , 2017 .
[13] Nabeel Tawalbeh. Daily load profile and monthly power peaks evaluation of the urban substation of the capital of Jordan Amman , 2012 .
[14] Do-Hyeun Kim,et al. A Prediction Approach for Demand Analysis of Energy Consumption Using K-Nearest Neighbor in Residential Buildings , 2016 .
[15] George Kesidis,et al. Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.
[16] Xingong Cheng,et al. Short-term Power Load Forecasting Based on Balanced KNN , 2018 .
[17] Toru Namerikawa,et al. Real-Time Pricing Mechanism for Electricity Market With Built-In Incentive for Participation , 2015, IEEE Transactions on Smart Grid.
[18] N. Shah,et al. Modelling real-time pricing of electricity for energy conservation measures in the UK commercial sector , 2016, 2016 IEEE International Energy Conference (ENERGYCON).
[19] João Paulo Carvalho,et al. Daily prediction of ICU readmissions using feature engineering and ensemble fuzzy modeling , 2017, Expert Syst. Appl..
[20] Kelum A. A. Gamage,et al. Demand side management in smart grid: A review and proposals for future direction , 2014 .
[21] Fei Yu,et al. A Real-Time Dynamic Pricing Algorithm for Smart Grid With Unstable Energy Providers and Malicious Users , 2016, IEEE Internet of Things Journal.
[22] Sangtae Ha,et al. Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility , 2012, IEEE Journal on Selected Areas in Communications.