Mathematical Analysis of Time-Series & Meteorological Factors in Electricity Demand Forecasting Based on Carbon Neutrality-Reference-Cited by-同舟云学术

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Mathematical Analysis of Time-Series & Meteorological Factors in Electricity Demand Forecasting Based on Carbon Neutrality

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
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Author:

Jie Bo¹,Baba Jumpei²,Kumada Akiko¹

Affiliation:

1. Graduate School of Engineering, The University of Tokyo,Tokyo,Japan

2. Graduate School of Frontier Sciences, The University of Tokyo,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294329/10294332/10294862.pdf?arnumber=10294862

Reference22 articles.

1. Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm

2. Day-ahead load forecast using random forest and expert input selection

3. EMD–PSO–ANFIS‐based hybrid approach for short‐term load forecasting in microgrids

4. A Novel Method for Hourly Electricity Demand Forecasting

5. National Greenhouse Gas Inventory Report of Japan (NIR);Japanese Ministry of the Environment,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. xEMS: Control Towers of Optimal Energy Flow Management for Smart City Realization;S.M.A.R.T. Environments;2024

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