From AI innovations and data center optimization to rising energy demand, microgrids, smart grid advancements, DERMS, cybersecurity, resilience strategies, and more—we’re addressing your challenges and needs.
Grid Resilience and Reliability
This topic explores strategies to maintain grid stability and reliability as data centers drive unprecedented load growth and complexity. This includes highlighting innovative solutions, AI-equipped technologies, operational practices, and collaborative efforts to ensure resilient energy delivery in an increasingly constrained energy landscape.
Policy and Regulatory
Dive into the evolving regulatory landscape shaping energy use for utilities, data center developers and other stakeholders. Integrating data centers onto the grid requires policies that balance reliability, sustainability and growth, with considerations that include capacity planning, load management solutions and grid tariffs for large-load users.
Planning and Utility Collaboration
Learn how utilities and data center companies are improving collaboration to streamline processes, from site selection to interconnection and long-term operations. This topic includes strategies for enhancing partnerships through transparent communication and cross-departmental alignment to help meet growing energy demands.
Interconnection
Discover approaches for addressing interconnection roadblocks as data centers integrate with existing grid infrastructure. This topic covers strategies to streamline processes, improve planning and modeling techniques and implement collaborative solutions that balance rapid deployment with grid reliability.
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Sustainability
Data centers are driving explosive electricity demand, but where will all the clean power come from? This topic will explore the dual challenge of achieving sustainability goals while meeting surging load growth. Considerations include clean energy procurement strategies for data centers and innovative partnerships that advance the path to clean energy for utility and end user alike.
Demand Response and Load Management
Examine how data centers can provide critical grid support by contributing to flexibility through demand response, onsite power, and load management strategies. Learn how utilities and developers are leveraging AI and advanced technologies to manage peak demand and enhance grid stability.
Power Generation Strategies
Data center operators are increasingly looking toward on-site or adjacent power generation or storage to alleviate grid constraints or work around interconnection delays. Utilities and data center customers can also leverage these resources to alleviate peak load periods. This topic encompasses the technical, economic, and regulatory implications of on-site generation, as well as its potential to reshape the traditional utility model. This topic will also explore strategies for utilities to meet resource adequacy requirements in the face of rapid load growth.
Advanced Distribution Operations
AI and other advanced tools are transforming the energy sector by optimizing grid operations, improving load forecasting and accelerating clean energy adoption. DTECH Data Centers and AI will share use cases and strategies for leveraging these tools in capacity planning, market bidding, resource integration and scenario analysis to enhance grid reliability.
Asset Management
Modern asset management uses AI, IoT, and data analytics to optimize the lifecycle of critical infrastructure. Utilities can monitor asset performance in real time, predict failures before they occur, and make informed decisions about maintenance and replacement schedules. This proactive approach minimizes downtime, reduces operational costs, and ensures reliable service while supporting long-term grid modernization efforts.
Cybersecurity
Learn about the critical role of cybersecurity in protecting the electric grid, generating resources and large load customers from emerging threats in an increasingly digital world. This topic explores strategies and technologies to safeguard operational continuity, enhance system resilience and build trust across the energy sector.
Forecasting
The latest forecasting techniques combine AI, machine learning and big data to predict energy demand and supply more accurately. By analyzing historical data, weather and trends, utilities can anticipate load changes and improve grid planning. These forecasts enable smarter decisions, lower costs, and ensure reliable energy delivery.