A Graph-based Spatiotemporal Model for Energy Markets-Reference-Cited by-同舟云学术

A Graph-based Spatiotemporal Model for Energy Markets

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
language:
Short-container-title:

Author:

Sharma Swati¹,Iyengar Srinivasan²,Zheng Shun³,Kapoor Kshitij⁴,Cao Wei³,Bian Jiang³,Kalyanaraman Shivkumar²,Lemmon John⁵

Affiliation:

1. Microsoft Research, Redmond, WA, USA

2. Microsoft, Bangalore, India

3. Microsoft Research, Beijing, China

4. Ashoka University, Sonipat, India

5. Microsoft, Redmond, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557530

Reference30 articles.

1. Day-Ahead Price Forecasting of Electricity Markets by a New Fuzzy Neural Network

2. Energy price forecasting - problems and proposals for such predictions

3. An optimization approach and a heuristic procedure to schedule battery charging processes for stackers of palletized cargo

4. Shing-Chow Chan , Kai Man Tsui , HC Wu, Yunhe Hou, Yik-Chung Wu, and Felix F Wu. 2012 . Load/price forecasting and managing demand response for smart grids: Methodologies and challenges. IEEE signal processing magazine 29, 5 (2012), 68--85. Shing-Chow Chan, Kai Man Tsui, HC Wu, Yunhe Hou, Yik-Chung Wu, and Felix F Wu. 2012. Load/price forecasting and managing demand response for smart grids: Methodologies and challenges. IEEE signal processing magazine 29, 5 (2012), 68--85.

5. Jinyin Chen , Xuanheng Xu , Yangyang Wu , and Haibin Zheng . 2018. GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction. CoRR abs/1812.04206 ( 2018 ). arXiv:1812.04206 http://arxiv.org/abs/1812.04206 Jinyin Chen, Xuanheng Xu, Yangyang Wu, and Haibin Zheng. 2018. GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction. CoRR abs/1812.04206 (2018). arXiv:1812.04206 http://arxiv.org/abs/1812.04206