Research on Day-Ahead Scheduling Strategy of the Power System Includes Wind Power Plants and Photovoltaic Power Stations Based on Big Data Clustering and Filling.
Feng QiQiang WangXiaoqiang WeiYiping ZhangWenbin WuDonyang HeTaicheng WangSuyang ShenPublished in: ICBDS (2022)
Keyphrases
- wind power
- big data
- power plant
- power generation
- power system
- scheduling strategy
- reactive power
- renewable energy sources
- economic dispatch
- wind speed
- unit commitment
- electric power
- wind turbine
- soft computing
- power grid
- data analysis
- cloud computing
- electric power systems
- power grids
- data processing
- social media
- electrical power
- scheduling algorithm
- data management
- computational intelligence
- load forecasting
- historical data
- fault diagnosis
- business intelligence
- data warehousing
- neuro fuzzy
- decision support system
- grid computing
- knowledge discovery
- smart grid
- fuzzy logic
- active power
- artificial intelligence
- short term
- transmission line
- quality of service
- data mining
- decision makers
- management system
- evolutionary algorithm