Decarbonising energy with higher levels of customer service - Presentation
Abstract:
ETI’s Strategy Manager Andrew Haslett presented “Decarbonising energy with higher levels of customer service” in a session titled “Meeting the expectation of the connected customer” at Utility Week Live
The presentation covers
- Services to domestic, commercial and industrial users
- Heat demand is highly variable (2010)
- 2030 generating mix?
- Multiple competing options
- Intertwined opportunities
- Complex socio-technical system
- Consumer satisfaction - machine learning
Publication Year:
2017
Publisher:
ETI
Author(s):
Haslett, A.
Energy Category
Class Name:
Subclass Name:
Category Name:
Language:
English
File Type:
application/pdf
File Size:
1936697 B
Rights:
Energy Technologies Institute Open Licence for Materials
Rights Overview:
The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.
Further information:
N/A
Region:
United Kingdom
Related Dataset(s):
No related datasets
Related Project(s):
Related Publications(s):
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