Practical insight for utility distribution planners and DSM professionals.
Articles, white papers, and case studies from the Integral Analytics team — covering the planning challenges that matter most to distribution engineers, resource planners, and grid modernization leads at electric utilities across North America.
New Releases
The Data Center Load Your Distribution Planners Need to Watch
Distributed AI inference is arriving on the distribution grid differently than hyperscale campuses — smaller, more dispersed, and faster-moving than traditional interconnection processes can track. Here’s what planners need to know.
Distributed AI Compute and the Distribution Grid
A technical examination of how distributed AI inference infrastructure differs from hyperscale data centers in its distribution grid impact — and what utilities need to plan for.
Empowering Utilities with LoadSEER, DSMore & IDROP
How spatial forecasting, locational DSM valuation, and integrated DER optimization work together to address the three most pressing challenges in utility distribution planning today.
Archives
IA publishes practical, technically grounded content written by utility planning practitioners — not marketing copy. No AI-generated content, no vendor puffery.
Articles
Thought leadership on distribution planning and grid transformation
White papers
Technical depth on planning methodology and analytical frameworks
Case studies
How utilities have applied IA analytics to real planning challenges
Solution overviews
Product capabilities and use cases in concise reference format
Use cases
Specific applications of LoadSEER, DSMore, and IDROP
Success stories
Outcomes from IA deployments at utilities across North America
Blog
Shorter-form commentary on industry trends and planning practice
News
Product announcements, customer news, and IA company updates
Planning topics
Geospatial load forecasting
Feeder-level, bottom-up spatial forecasting methodology
EV load forecasting
Circuit-level EV charging demand by charger type
DER forecasting
Multi-scenario distributed energy resource adoption
Integrated distribution planning
IDP methodology, regulatory requirements, and workflow
Data center load forecasting
Hyperscale and distributed AI compute grid impact
DSM cost-effectiveness
Locational avoided cost analysis and NWA evaluation
DER dispatch optimization
Real-time coordination of controllable loads and DERs
Distribution planning software
Tools and methodology for modern distribution planning
What’s in the pipeline
IA publishes on a regular editorial calendar
New content is published monthly — written by IA’s planning practitioners and distribution engineering team, not ghostwritten. Upcoming topics include:
- Q2 2026 · Blog postWhat distribution planners get wrong about utility load forecasting software
- Q2 2026 · Blog postEV charging is four different load problems — here’s how to forecast each one
- Q3 2026 · Reference guide (gated)State-by-state IDP requirements: California, New York, Hawaii, Illinois — 2026 update
- Q3 2026 · Blog postHosting capacity vs. capacity headroom: why the distinction matters for distribution planning
- Q4 2026 · Blog postWhy the 500 MW campus isn’t your distribution planning problem — but the 15 MW one is
- Q1 2027 · Blog postWhy every building in the US is in our forecast — the building stock data advantage
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