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A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on
  Sequence Prediction
v1v2v3 (latest)

A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction

9 December 2018
M. Dong
L. Grumbach
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction"

4 / 4 papers shown
A Fair and Efficient Hybrid Federated Learning Framework based on
  XGBoost for Distributed Power Prediction
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
Haizhou Liu
Xuan Zhang
Xinwei Shen
Hongbin Sun
FedML
210
6
0
08 Jan 2022
Deep Learning for Intelligent Demand Response and Smart Grids: A
  Comprehensive Survey
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive SurveyComputer Science Review (Comput. Sci. Rev.), 2021
Praveen Kumar
Quoc-Viet Pham
Madhusanka Liyanage
N. Deepa
Mounik Vvss
Shivani Reddy
Reddy Maddikunta
Neelu Khare
Thippa Reddy Gadekallu
Won Joo Hwang
309
109
0
20 Jan 2021
Multi-year Long-term Load Forecast for Area Distribution Feeders based
  on Selective Sequence Learning
Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning
M. Dong
K. Xie
Qingxin Shi
AI4TS
38
11
0
18 Jul 2019
A Stock Selection Method Based on Earning Yield Forecast Using Sequence
  Prediction Models
A Stock Selection Method Based on Earning Yield Forecast Using Sequence Prediction Models
Jessie Sun
39
7
0
13 May 2019
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