Kategorier: Alle - analytics - data - infrastructure - investment

af Benson C 12 år siden

271

Smart Energy and the importance of Data

The integration of smart energy systems with advanced data analytics plays a crucial role in enhancing the utility sector's service quality, reliability, and cost-efficiency while promoting environmental sustainability.

Smart Energy and the importance of Data

Smart Energy and the importance of Data

Benefits for the Utility - Service quality - Reliability - Cost - Environment

Optimised portfolio of infrastructure assets
Good investment decisions

Infrastructure investment options

Finance

Self-funding business models

Drivers

Personal values and interests

Social

Financial

Confidence in program

Privacy and security

Cost implications

Maintained or improved service quality

Awareness of program

Social network referrals

Mechanism to utilise social networks

Advertising

Service

Decisions

Mechanisms for capturing, storing and sharing opt in/out choices

Passive

Mechanisms for automated decision making

Active

Option impact information

Real time pricing/benefit data

Mechanisms for triggering decision making

Utility side

Consumer side

...

Revenue stream

Mechanisms for capturing value

Currency

Platform

Funding

Funding programs

Existing technologies

Emerging technologies

Pilot success

Program satisfaction

Feedback

Demonstrated benefits

Socially shared learnings

Adequate uptake

Valid statistics/learnings

Enabling technologies

Sweating existing assets

Asset condition data

Inventory data

Medium/Long term forecasting/analytical capabilities

Framework for good investment decision making

Effective operational management
Mechanisms for actuation
Short/Medium term forcasting/analytical capabilities

BI/Big Data Infrastructure

Demand/Supply forecasting applications

Analytics capabilities

Analytics software

Hardware

Stored information

Survey and research data

Real-time data feeds

Social data

Comms/Network infrastructure

IoT devices

Customers/Participants

Advanced metering infrastructure

Consumer applications

Consumer electronics

Logical data model

Design

Regulatory requirements

Good technical practice

Opportunities

Partnerships

Other uses for information

Strategic and operational business needs

See reference

Framework for good operational management decision making