A novel GA-ANFIS hybrid model for short-term solar PV power forecasting in Indian electricity market

被引：25

作者：

Yadav, Harendra Kumar ^{[1
]}

Pal, Yash ^{[2
]}

Tripathi, Madan Mohan ^{[3
]}

机构：

[1] Natl Inst Technol, Sch Renewable Energy & Efficiency, Kurukshetra 136119, Haryana, India

[2] Natl Inst Technol, Dept Elect Engn, Kurukshetra 136119, Haryana, India

[3] Delhi Technol Univ, Dept Elect Engn, New Delhi 110042, India

来源：

JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES | 2019年 / 40卷 / 02期

关键词：

Restructured market; Genetic algorithm; Fuzzy logic; Network based fuzzy inference system; ANFIS and PV power forecasting; NEURAL-NETWORK; FUZZY;

D O I：

10.1080/02522667.2019.1580880

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Solar photovoltaic (PV) power is a most important green energy source of electricity. Accurate solar PV power forecasting is a vital requirement for integration of PV power with electricity grid, stability of grid and its management. This paper proposed, a novel hybrid model, combining genetic algorithm (GA) and adaptive network based fuzzy inference system (ANFIS) for short term solar PV power forecasting in Indian electricity market. The developed hybrid model is applied for study of PV power forecasting in Indian electricity market. Performance of developed model is compared with four different models and proposed model has given more accurate forecasting.

引用

页码：377 / 395

页数：19

共 50 条

[31] Short-term Solar Power Forecasting via a Hybrid Model Combined with PSR and SD
Li, Mingrui
Zhu, Jiebei
Mu, Chaoxu
Zhao, Jun
2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,
[32] A Novel Hybrid Method for Short-Term Power Load Forecasting
Huang Yuansheng
Huang Shenhai
Song Jiayin
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2016, 2016
[33] A Hybrid Approach for Short-Term PV Power Forecasting in Predictive Control Applications
Vrettos, Evangelos
Gehbauer, Christoph
2019 IEEE MILAN POWERTECH, 2019,
[34] Solar Power Plant Generation Short-Term Forecasting Model
Eroshenko, Stanislav
Kochneva, Elena
Kruchkov, Pavel
Khalyasmaa, Aleksandra
2018 3RD INTERNATIONAL CONFERENCE ON MEASUREMENT INSTRUMENTATION AND ELECTRONICS (ICMIE 2018), 2018, 208
[35] TransformGraph: A novel short-term electricity net load forecasting model
Zhang, Qingyong
Chen, Jiahua
Xiao, Gang
He, Shangyang
Deng, Kunxiang
ENERGY REPORTS, 2023, 9 : 2705 - 2717
[36] A Double-stage Hierarchical Hybrid PSO-ANFIS Model for Short-term Wind Power Forecasting
Li, Han
Eseye, Abinet Tesfaye
Zhang, Jianhua
Zheng, Dehua
2017 NINTH ANNUAL IEEE GREEN TECHNOLOGIES CONFERENCE (GREENTECH 2017), 2017, : 342 - 349
[37] GA-ANN Short-Term Electricity Load Forecasting
Viegas, Joaquim L.
Vieira, Susana M.
Melicio, Rui
Mendes, Victor M. F.
Sousa, Joao M. C.
TECHNOLOGICAL INNOVATION FOR CYBER-PHYSICAL SYSTEMS, 2016, 470 : 485 - 493
[38] Forecasting Short-Term Solar PV Using Hierarchical Clustering and Cascade Model
Wang, Ben-Yi
Yu, Kun-Ming, V
Sodsong, Nattawat
Chuang, Ken H.
INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING, 2022, 14 (01)
[39] A hybrid model of CNN and LSTM autoencoder-based short-term PV power generation forecasting
Ibrahim, Mohamed Sayed
Gharghory, Sawsan Morkos
Kamal, Hanan Ahmed
ELECTRICAL ENGINEERING, 2024, 106 (04) : 4239 - 4255
[40] A combination of novel hybrid deep learning model and quantile regression for short-term deterministic and probabilistic PV maximum power forecasting
Nguyen Duc Tuyen
Trong Thanh, Nguyen
Vu Xuan Son Huu
Fujita, Goro
IET RENEWABLE POWER GENERATION, 2023, 17 (04) : 794 - 813

← 1 2 3 4 5 →