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  5. Blockchain-based Marketplaces for Crowdsourcing Renewable Energy Forecasting
 
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Blockchain-based Marketplaces for Crowdsourcing Renewable Energy Forecasting

Author(s)
Shamsi, Mahdieh  
Cuffe, Paul  
Uri
http://hdl.handle.net/10197/25728
Date Issued
2022
Date Available
2024-04-24T12:24:05Z
Abstract
In line with the ambitious goal of net-zero carbon emission, the deployment of renewable energy sources is accelerating rapidly in the power sector. However, the energy production of these renewable sources, such as wind and solar, is volatile due to changes in weather conditions. This issue impacts the reliable planning and operation of these energy sources in the power systems. Therefore, accurate forecasting methods are essential for the proper usage of renewable sources. This piece explores how blockchain technology can be employed to implement crowdsourced platforms for renewable energy forecasting where participants are incentivised to provide truthful information. The main application, which is the focus of this work, is the blockchain-hosted prediction markets. Other platforms, including data markets, as well as the possibility of the integration with the internet of things are also mentioned. All these kinds of platforms benefit from access to massive and diverse sources of information which improve the quality of renewable energy forecasting.
Other Sponsorship
Sustainable Energy Authority of Ireland (SEAI)
UCD Energy Institute
Type of Material
Technical Report
Publisher
IEEE
Series
IEEE Blockchain Technical Briefs
Q2 2022
Subjects

Renewable energy

Power sector

Blockchain

Prediction markets

Data markets

Web versions
https://blockchain.ieee.org/technicalbriefs/q2-2022
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

As submitted July 2022 Mahdieh_Paul_UCD_IEEE_Blockchain_Brief.pdf

Size

176.06 KB

Format

Adobe PDF

Checksum (MD5)

e19f44135216b5be26ce1f4c970eff57

Owning collection
Electrical and Electronic Engineering Research Collection
Mapped collections
Energy Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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