The author also emphasizes the importance of accurate demand response and load-shifting efforts in progressing utility clean energy plans. By leveraging consumption data, utilities can optimize existing grid infrastructure while waiting for the clean energy build-out. The author concludes by stating that while reducing carbon emissions is a critical global goal, clean energy plans could fail without a balanced grid.
Key takeaways:
- Utilities are focusing on managing energy supply and demand to achieve system-wide transformation and meet clean energy targets. This includes understanding how energy moves along the grid and adjusting accordingly.
- Traditional demand-response programs are not sufficient for larger-scale initiatives. Instead, utilities need to understand individual usage patterns and incentivize customers to make load-shifting changes where needed.
- AI-powered analytics are being used to build “energy profiles” for each household, allowing utilities to identify and target customers for load-shifting programs based on real-time insights. This is particularly useful for managing loads associated with electric vehicle charging.
- Accurate demand response and load-shifting efforts are critical for progressing utility clean energy plans. By leveraging consumption data, utilities can optimize existing grid infrastructure and make more accurate infrastructure decisions.