A5009641658- Constraint Satisfaction and Optimization
- Data Management and Algorithms
- Power Systems and Renewable Energy
- Energy Load and Power Forecasting
- Reservoir Engineering and Simulation Methods
- Wind Turbine Control Systems
- Oil and Gas Production Techniques
- Image and Signal Denoising Methods
- Advanced Database Systems and Queries
- Hydraulic Fracturing and Reservoir Analysis
- Solar Radiation and Photovoltaics
State Grid Corporation of China (China)
2019-2024
Sinopec (China)
2022
University of Vermont
2007
Abstract The present article proposes an enhanced hybrid neural network model that combines variational mode decomposition (VMD) and genetic algorithm-backpropagation (GA-BP) to tackle the accurate prediction task of nonstationary nonlinear power demand data. In comparison existing methods, this study employs North Gallic Hawk Optimization (NGO) algorithm preliminarily ensure optimization number VMD modes, K penalty factor, α. Furthermore, it utilizes envelope entropy criterion determine...
In the recent years several research efforts have focused on concept of time granularity and its applications. A first stream investigated mathematical models behind notion algorithms to manage temporal data based those models. second symbolic formalisms providing a set algebraic operators define granularities in compact compositional way. However, only very limited manipulation been proposed operate directly representation making it unsuitable use applications that need granularities. This...
ABSTRACT: Multistage hydraulic fracturing in horizontal well is the key means to realize efficient development of shale reservoir. Traditional optimization mainly applies single factor analysis or orthogonal test based on numerical simulation, which time consuming and difficult obtain global optimal solution. In this paper, an method design for gas artificial neural network (ANN) genetic algorithm (GA) proposed. On basis collecting geology, engineering, production data fractured wells, main...
When the wind turbine adopts rotor inertia control to participate in grid frequency regulation, it is easy cause second drop, which will be more serious when applied farm. To solve this problem, influence of speed on unit's ultimate support time under constant power mode analyzed quantitatively and recovery defined. The functional relationship between suitable for engineering application given. A farm regulation optimization model aiming at longest supporting all units whole station...