Title | ||
---|---|---|
Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges. |
Abstract | ||
---|---|---|
With the promises of smart grids, power can be more efficiently and reliably generated, transmitted, and consumed over conventional electricity systems. Through the two-way flow of information between suppliers and consumers, the grids can also adapt more readily to the increased penetration of renewable energy sources and encourage users' participation in energy savings and cooperation through th... |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/MSP.2012.2186531 | IEEE Signal Processing Magazine |
Keywords | Field | DocType |
Tutorials,Smart grids,Power grids,Power system management,Power system economics,Power demand,Load flow control,Power distribution,Supply and demand,Pricing | Information flow (information theory),Signal processing,Renewable energy,Smart grid,Computer science,Simulation,Electricity,Demand response,Risk analysis (engineering),Theoretical computer science,Load forecasting,Recursion | Journal |
Volume | Issue | ISSN |
29 | 5 | 1053-5888 |
Citations | PageRank | References |
32 | 1.74 | 12 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shing-Chow Chan | 1 | 1153 | 107.69 |
Kai Man Tsui | 2 | 76 | 6.71 |
H. C. Wu | 3 | 32 | 1.74 |
Yunhe Hou | 4 | 114 | 22.07 |
Yik-Chung Wu | 5 | 1335 | 94.03 |
Felix F. Wu | 6 | 273 | 43.65 |