An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed

Jing Zhao, Zhenhai Guo, Zhongyue Su, +3

Applied Energy

MeteorologyForecasting MethodologyFuzzy LogicFuzzy SystemsEngineering +12

Multi-step wind speed and power forecasts based on a WRF simulation and an optimized association method

Jing Zhao, Yanling Guo, Xiao Xia, +3

Applied Energy

Wrf SimulationEngineeringPower ForecastsSmart GridWind Power Generation +5

A corrected hybrid approach for wind speed prediction in Hexi Corridor of China

Zhenhai Guo, Jing Zhao, Wenyu Zhang, +1

Energy

MeteorologyNumerical Weather PredictionEngineeringAerospace EngineeringHybrid Approach +10

A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system

Jianzhou Wang, Feng Liu, Yiliao Song, +1

Applied Soft Computing

Electrical EngineeringEngineeringData ScienceEnergy ManagementSmart Grid +9

Multi-step wind speed forecasting based on numerical simulations and an optimized stochastic ensemble method

Jing Zhao, Jianzhou Wang, Zhenhai Guo, +3

Applied Energy

A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions

Jing Zhao, Zhenhai Guo, Yanling Guo, +2

Energy

MeteorologySelf-organizing ForecastForecasting MethodologyEngineeringProbabilistic Forecasting +8

Multi-step wind speed forecast based on sample clustering and an optimized hybrid system

Xuejun Chen, Jing Zhao, Xiao-Zhong Jia, +1

Renewable Energy

EngineeringWind Power GenerationData ScienceEnergy ManagementEnergy Forecasting +7

Power generation and renewable potential in China

Jing Zhao, Jianzhou Wang, Zhongyue Su

Renewable and Sustainable Energy Reviews

Electrical EngineeringEngineeringSustainable EnergyEnergy TransitionEnergy Generation +3

A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function

Jianming Hu, Yingying Lin, Jingwei Tang, +1

Applied Soft Computing

EngineeringWind Power GenerationSmart GridQuality-driven Loss FunctionComputer Engineering +6

Hybrid Wind Speed Prediction Based on a Self-Adaptive ARIMAX Model with an Exogenous WRF Simulation

Erdong Zhao, Jing Zhao, Liwei Liu, +2

Energies

Search OptimizationForecasting MethodologyEngineeringExogenous Wrf SimulationWind Engineering +18