229 results on '"Zang, Haixiang"'
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2. Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction
3. Multi-site solar irradiance forecasting based on adaptive spatiotemporal graph convolutional network
4. A double auction mechanism for virtual power plants based on blockchain sharding consensus and privacy preservation
5. Distributionally robust CVaR optimization for resilient distribution system planning with consideration for long-term and short-term uncertainties
6. Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach
7. A hybrid meteorological data simulation framework based on time-series generative adversarial network for global daily solar radiation estimation
8. A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting
9. Harvesting spatiotemporal correlation from sky image sequence to improve ultra-short-term solar irradiance forecasting
10. Bi-level model for integrated energy service providers in joint electricity and carbon P2P market
11. Sky-Image-Derived Deep Decomposition for Ultra-Short-Term Photovoltaic Power Forecasting
12. Optimal home energy management strategy: A reinforcement learning method with actor-critic using Kronecker-factored trust region
13. Evaluation of opaque deep-learning solar power forecast models towards power-grid applications
14. A multi-stage planning model for transitioning to low-carbon integrated electric power and natural gas systems
15. High sensitivity fault location technology for distribution networks considering measurement error
16. Combined empirical and machine learning modeling method for estimation of daily global solar radiation for general meteorological observation stations
17. Nash–Cournot power market model with a high penetration of prosumers: A distributionally robust optimization approach
18. Distributionally Robust Co-Optimization of Energy and Reserve Dispatch for Integrated Electricity-Gas-Heating Systems
19. A double auction mechanism for virtual power plants based on blockchain sharding consensus and privacy preservation
20. Residential load forecasting based on LSTM fusing self-attention mechanism with pooling
21. Optimal trading strategy for integrated energy company based on integrated demand response considering load classifications
22. Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations
23. A conditional value-at-risk-based dispatch approach for the energy management of smart buildings with HVAC systems
24. Research on data-driven power flow calculation method based on undirected-graph delooping-backtracking.
25. Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning
26. Application of functional deep belief network for estimating daily global solar radiation: A case study in China
27. Editorial: Advances in flexibility exploration and utilization for low carbon power systems
28. Estimation and validation of daily global solar radiation by day of the year-based models for different climates in China
29. Application of DBN for estimating daily solar radiation on horizontal surfaces in Lhasa, China
30. A decision-making tool for determination of storage capacity in grid-connected PV systems
31. A robust optimization approach for integrated community energy system in energy and ancillary service markets
32. Asynchronous and Adaptive State Estimation of Integrated Electricity–Gas Energy Systems
33. Prediction of Non-Stationary Multi-Head Cloud Motion Vectors for Intra-Hourly Satellite-Derived Solar Power Forecasting
34. Mitigating the Impact of Photovoltaic Power Ramps on Intraday Economic Dispatch Using Reinforcement Forecasting
35. Secure Multi-Party Household Load Scheduling Framework for Real-Time Demand-Side Management
36. Satellite-derived Photovoltaic Power Forecasting Based on Various Attention Inputs for Higher Self-explainability
37. Photovoltaic Planning Process for Untypical Region
38. Wind power probabilistic forecasting based on combined decomposition and deep learning quantile regression
39. A software tool for the generation of the typical meteorological year in different climates of China
40. A Low-Carbon Dispatch Strategy for Power Systems Considering Flexible Demand Response and Energy Storage
41. Solar Power Prediction Based on Satellite Measurements – A Graphical Learning Method for Tracking Cloud Motion
42. Generation of typical solar radiation data for different climates of China
43. Short-term Solar Power Prediction Learning Directly from Satellite Images With Regions of Interest
44. Model Opacity Problem of Deep-Learning-Based Solar Power Forecasts for Power-Grid Applications: Summary, Evaluation and Discussion
45. Combined Empirical and Machine Learning Modeling Method for Estimation of Daily Global Solar Radiation for General Meteorological Observation Stations
46. A Modified Method to Generate Typical Meteorological Years from the Long-Term Weather Database
47. Research on the Urban Charging Infrastructure Planning Considering Multiple Factors
48. A Two-Stage Cooperative Dispatch Model for Power Systems Considering Security and Source-Load Interaction
49. A Flexible Demand Response Dispatch Strategy Considering Multiple Response Modes and Wind Power Uncertainty
50. Augmented Convolutional Network for Wind Power Prediction: A New Recurrent Architecture Design With Spatial-Temporal Image Inputs
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