Probabilistic Forecasting of Available Load Supply Capacity for Renewable-Energy-Based Power Systems

Probabilistic Forecasting of Available Load Supply Capacity for Renewable-Energy-Based Power Systems

In order to accurately analyze the load supply capability of power systems with high penetration of renewable energy generation, this paper proposes a probabilistic available load supply capability (ALSC) forecasting method. Firstly, the optimal input features are selected by calculating the maximal...

Full description

Bibliographic Details
Main Authors:	Qizhuan Shao, Shuangquan Liu, Yigong Xie, Xinchun Zhu, Yilin Zhang, Junzhou Wang, Junjie Tang
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Applied Sciences
Subjects:	stacking ensemble learning model probabilistic forecasting repeated power flow multi-slack buses Latin hypercube sampling
Online Access:	https://www.mdpi.com/2076-3417/13/15/8860

Similar Items

Quantile Regression Post-Processing of Weather Forecast for Short-Term Solar Power Probabilistic Forecasting
by: Luca Massidda, et al.
Published: (2018-07-01)

Evaluation of an Application of Probabilistic Quantitative Precipitation Forecasts for Flood Forecasting
by: Andrew R. Goenner, et al.
Published: (2020-10-01)

Spatial Predictability of Heavy Rainfall Events in East China and the Application of Spatial-Based Methods of Probabilistic Forecasting
by: Xiaoran Zhuang, et al.
Published: (2019-08-01)

Evaluation of ECMWF's forecasting system for probabilistic urban flood prediction: a case study in Mexico City
by: Marco R. López López, et al.
Published: (2022-01-01)

Post-failure analysis of landslides in spatially varying soil deposits using stochastic material point method
by: MA Guo-tao, et al.
Published: (2022-07-01)

Probabilistic Load Flow Method Based on Modified Latin Hypercube-Important Sampling
by: Quan Li, et al.
Published: (2018-11-01)

Ensemble Learning Approach for Probabilistic Forecasting of Solar Power Generation
by: Azhar Ahmed Mohammed, et al.
Published: (2016-12-01)

Reliable precipitation nowcasting using probabilistic diffusion models
by: Congyi Nai, et al.
Published: (2024-01-01)

Towards real-time probabilistic ash deposition forecasting for New Zealand
by: Rosa Trancoso, et al.
Published: (2022-11-01)

An Adaptive, Data-Driven Stacking Ensemble Learning Framework for the Short-Term Forecasting of Renewable Energy Generation
by: Hui Huang, et al.
Published: (2023-02-01)

Probabilistic thunderstorm forecasting by blending multiple ensembles
by: François Bouttier, et al.
Published: (2020-01-01)

Ensemble Radar-Based Rainfall Forecasts for Urban Hydrological Applications
by: Mayra Codo, et al.
Published: (2018-08-01)

An Assessment Method for the Impact of Electric Vehicle Participation in V2G on the Voltage Quality of the Distribution Network
by: Wei Chen, et al.
Published: (2022-06-01)

Probabilistic short-term power load forecasting based on B-SCN
by: Yi Ning, et al.
Published: (2022-11-01)

Comparison of non-homogeneous regression models for probabilistic wind speed forecasting
by: Sebastian Lerch, et al.
Published: (2013-11-01)

A Probabilistic Assessment Method for Voltage Stability Considering Large Scale Correlated Stochastic Variables
by: Jing Zhang, et al.
Published: (2020-01-01)

Probabilistic Intraday PV Power Forecast Using Ensembles of Deep Gaussian Mixture Density Networks
by: Oliver Doelle, et al.
Published: (2023-01-01)

Day-Ahead Forecast of Photovoltaic Power Based on a Novel Stacking Ensemble Method
by: Luyao Liu, et al.
Published: (2023-01-01)

Deep-learning-based post-processing for probabilistic precipitation forecasting
by: Yan Ji, et al.
Published: (2022-09-01)

Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
by: Sui Peng, et al.
Published: (2019-08-01)

Seamless Prediction of High-Impact Weather Events: A Comparison of Actionable Forecasts
by: Zied Ben Bouallègue
Published: (2024-03-01)

A Multi-Step Ensemble Approach for Energy Community Day-Ahead Net Load Point and Probabilistic Forecasting
by: Maria da Graça Ruano, et al.
Published: (2024-01-01)

Developing and Comparing Different Strategies for Combining Probabilistic Photovoltaic Power Forecasts in an Ensemble Method
by: Antonio Bracale, et al.
Published: (2019-03-01)

Predictor-weighting strategies for probabilistic wind power forecasting with an analog ensemble
by: Constantin Junk, et al.
Published: (2015-04-01)

Probabilistic Forecast of Ecological Drought in Rivers Based on Numerical Weather Forecast from S2S Dataset
by: Chenkai Cai, et al.
Published: (2024-02-01)

Short-term power load probabilistic interval multi-step forecasting based on ForecastNet
by: Yupeng Li, et al.
Published: (2022-08-01)

Statistical post‐processing of ensemble forecasts of temperature in Santiago de Chile
by: Mailiu Díaz, et al.
Published: (2020-01-01)

Analog Ensemble Forecasting System for Low-Visibility Conditions over the Main Airports of Morocco
by: Badreddine Alaoui, et al.
Published: (2022-10-01)

Probabilistic upscaling and aggregation of wind power forecasts
by: Janosch Henze, et al.
Published: (2020-03-01)

Static voltage stability influence evaluation method of distribution network including electric vehicles based on LHS-PPF
by: Qiao Ma, et al.
Published: (2023-09-01)

Improving Forecast Reliability for Geographically Distributed Photovoltaic Generations
by: Daisuke Kodaira, et al.
Published: (2021-11-01)

Probabilistic solar irradiance forecasting based on XGBoost
by: Xianglong Li, et al.
Published: (2022-08-01)

Ensemble Machine Learning for Monkeypox Transmission Time Series Forecasting
by: Emmanuel Gbenga Dada, et al.
Published: (2022-11-01)

Probabilistic Load Forecasting With Reservoir Computing
by: Michele Guerra, et al.
Published: (2023-01-01)

Probabilistic Forecasting of the 500 hPa Geopotential Height over the Northern Hemisphere Using TIGGE Multi-model Ensemble Forecasts
by: Luying Ji, et al.
Published: (2021-02-01)

Probabilistic Forecast of the Extended Range Heatwave Over Eastern China
by: Wei Zhang, et al.
Published: (2022-01-01)

The Schaake Shuffle Technique to Combine Solar and Wind Power Probabilistic Forecasting
by: Stefano Alessandrini, et al.
Published: (2020-05-01)

A Parallel Probabilistic Load Flow Method Considering Nodal Correlations
by: Jun Liu, et al.
Published: (2016-12-01)

Probabilistic forecasting of tropical cyclones intensity using machine learning model
by: Fan Meng, et al.
Published: (2023-01-01)

Study of Short-Term Photovoltaic Power Forecast Based on Error Calibration under Typical Climate Categories
by: Yajing Gao, et al.
Published: (2016-07-01)