Research on a New Method of Industrial Park Load Forecasting Based on Typical User Load Characteristics

Author:

Ding Bin1,Xing Zhikun1,Yuan Bo1,Wang Fan1,Pan Yuting2

Affiliation:

1. State Grid Hebei Xiongan Electric Power Supply Company,China

2. Shanghai Electric Power Design Institute CO., LTD,Shanghai,China

Publisher

IEEE

Reference15 articles.

1. PV-Storage System Configuration of an Industrial Park Considering EV Load;weifeng;Low Voltage Apparatus,2019

2. Optimal Allocation of Charging Piles in Multi-areas Considering Charging Load Forecasting Based on Markov Chain;lin;Journal of SiChuan University(Engineering Science Edition),2017

3. Prediction of the regional building load using Monte Carlo simulation method;lizhen;Journal of Xi'an University of Architecture & Technology,2017

4. Short-term multiple load prediction model for regional integrated energy system based on Copula theory and KPCA-GRNN;jianpeng;Advanced Technology of Electrical Engineering and Energy,2020

5. Energy Optimization Based on Model Predictive Control for Combined Heating and Power Microgrid in Industrial Park;chao;Electric Power Construction,2019

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1. A Method of Anomaly Data Identification and Correction for Industrial and Commercial Consumers’ Electricity Loads;2023 IEEE Sustainable Power and Energy Conference (iSPEC);2023-11-28

2. Meteorological Data-Driven Traffic Flow Forecasting Using Intelligent Algorithms;2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA);2023-11-06

3. A Multivariate Load Forecasting Method Based on ESAM-MTL Model;2023 8th International Conference on Power and Renewable Energy (ICPRE);2023-09-22

4. Investigation and Analysis of Power Load Density for Commercial Buildings;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

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