Contrary to what it may seem, artificial intelligence has not taken over the world, or at least not yet. But you can be excused for believing that AI is in control given the buzz surrounding the technology’s rapidly expanding reach into everything, everywhere – and the world of energy is no exception.
Curious as to how AI views the optimization of distributed energy resources, we asked ChatGPT how AI can be used to optimize DERs. Although ChatGPT summarized available information nicely, the popular, AI-powered natural language processing tool stopped short of telling an energy user how they can optimize their DERs and how they would benefit.
Here are four ways that AI can optimize DERs, according to ChatGPT, along with CPower’s comments on each.
1) Optimizing DERs for Demand Response
ChatGPT says: AI can analyze energy consumption patterns and predict demand fluctuations. By considering factors like weather, time of day and user preferences, AI algorithms can optimize the timing and magnitude of energy generation and storage to match demand. This helps balance supply and demand, reducing peak loads and optimizing the utilization of DERs.
CPower adds: Flexible DERs are ideal for balancing supply and demand and avoiding blackouts or brownouts because they can provide a range of valuable grid services. AI can help customers optimize participation in demand response programs for the good of their organization and the grid. For example, in working across multiple DERs, customer sites and DR programs in real-time, CPower’s EnerWise® Site Optimization helps energy users make money, reduce costs or both by providing grid services that improve reliability.
2) Forecasting Energy
ChatGPT says: AI can leverage historical data, weather patterns and other relevant information to accurately predict future energy generation and consumption. This enables proactive planning and scheduling of DERs, allowing for better integration with the grid and avoiding potential imbalances.
CPower adds: Given that the grid often struggles to maintain balance through challenges, like extreme weather or unexpected changes in supply or demand, AI’s ability to forecast accurately is vital in enabling the fast and flexible grid that we need to power the clean energy transition. Real-time insight into demand is increasingly critical as intermittent renewable generation resources, like solar and wind, account for an ever-larger percentage of the nation’s power mix.
3) Allocating Resources
ChatGPT says: AI can optimize the allocation of energy resources in a distributed network. By considering factors like energy prices, load profiles and system constraints, AI algorithms can determine the most efficient distribution of energy generation, storage and consumption across DERs. This leads to better utilization of available resources and reduces energy waste.
CPower adds: The ability to quickly dispatch DERs in response to shifts in supply or demand is essential to keeping the grid balanced. EnerWise helps maintain balance by automatically allocating each asset at a site to available programs on an hourly basis within the constraints of the hardware or associated permitting/ incentive structures.
4) Participating in Energy Markets and Trading
ChatGPT says: AI can facilitate the participation of DER owners in energy markets. By analyzing market conditions, price signals and regulatory requirements, AI algorithms can guide decision-making for optimal energy trading. This enables DER owners to sell excess energy back to the grid or participate in peer-to-peer energy trading platforms, maximizing their economic benefits.
CPower adds: Combining technology with human know-how remains essential to fully unlocking the value of DERs. For example, while EnerWise efficiently enables DER participation across all available on-bill cost avoidance options and grid services programs, CPower’s experts mitigate revenue complexity and minimize risk for customers by managing changes in more than 60 solutions nationwide, including automated DR solutions.
Looking ahead, ChatGPT noted that optimizing DERs with AI enhances their efficiency, reliability and sustainability while unlocking the full potential of renewable energy sources. At CPower, we would add that we are enabling a flexible, clean and dependable energy future by forming the nation’s largest virtual power plant. In aggregating 6.4 GW of flexible DER capacity across more than 24,000 customer sites, we are helping to create the Customer-Powered Grid™ that will smooth the energy transition while helping energy users earn the most value from their resources.
If you would like to learn more about EnerWise or other ways to optimize your energy assets, call us at 844-276-9371 or visit CPowerEnergy.com/contact to find out how we can help you create and implement a DER strategy that works.
Senior VP | Technology
Kyle is a results-driven leader with a track record of delivering high-value products that increase revenue, improve organizational productivity and create large-scale cost savings. A motivated executive who desires to lead fast-paced teams through the creative and challenging process of bringing products to life, from whiteboard to launch.
As Senior Vice President at CPower, he is responsible for Information Technology and Product Management. Previously, he held several technology leadership positions at Constellation Energy. He is also an AEE Certified Energy Manager (CEM) and an AEE Certified Demand Side Management professional (CDSM).