Learning Approach for Energy Consumption Forecasting in Residential Microgrid-Reference-Cited by-同舟云学术

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Learning Approach for Energy Consumption Forecasting in Residential Microgrid

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Kansas Power and Energy Conference (KPEC)
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Author:

Saini Vikash Kumar¹,Singh Ravindra²,Mahto Dinesh Kumar³,Kumar Rajesh³,Mathur Akhilesh³

Affiliation:

1. Malaviya National Institute of Technology,Center for Energy and Environment,Jaipur,India,302017

2. University of Rajasthan,Centre for Converging Technologies,Jaipur,India,302017

3. Malaviya National Institute of Technology,Department of Electrical Engineering,Jaipur,India,302017

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9813728/9814709/09814744.pdf?arnumber=9814744

Reference32 articles.

1. Dynamic allocation of peer-to-peer clusters in virtual local electricity markets: A marketplace for EV flexibility

2. Short-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques

3. Empirical evaluation of gated recurrent neural networks on sequence modeling;chung;arXiv preprint arXiv 1412 3555,2014

4. A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households

5. A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

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1. Data driven net load uncertainty quantification for cloud energy storage management in residential microgrid;Electric Power Systems Research;2024-01

2. GAT- DNet: High Fidelity Graph Attention Network for Distribution Optimal Power Flow Pursuit;2023 9th IEEE India International Conference on Power Electronics (IICPE);2023-11-28

3. Uncertainty aware optimal battery sizing for cloud energy storage in community microgrid;Electric Power Systems Research;2023-09

4. Proof of Work Consensus Based Peer to Peer Energy Trading in the Indian Residential Community;Energies;2023-01-24

5. Modern Use of Prosumer Energy Regulation Capabilities for the Provision of Microgrid Flexibility Services;Energies;2023-01-01

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