Buyer’s Guide: Distributed Energy Resource Management Systems (DERMS) (2025)
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Executive Summary
The rapid growth of distributed energy resources (DERs) is reshaping electricity systems, prompting utilities, energy retailers, commercial sites and municipal operators to seek more intelligent, scalable and interoperable ways to manage complexity. Distributed energy resource management systems (DERMS) are evolving to meet these needs, supporting use cases that span grid reliability and resilience, market participation and local energy optimization. This guide outlines a comprehensive landscape of 30 enterprise-relevant DERMS solutions, with deep-dives into 10 offerings. It introduces four key buyer profiles, four solution models and seven core aspects of DERMS functionality, helping decision-makers match available solutions and capabilities to organizational needs. Executives responsible for grid and energy management functions should use this guide to support them in identifying a solution that fits their requirements.
Table of contents
Summary for decision-makersThe Verdantix Buyer’s Guide to distributed energy resource management systems (DERMS)
Defining DERMS
DERMS is expanding beyond its traditional utility roots to support the needs of a wider range of edge-side stakeholders
Buyers turn to DERMS for visibility, control and marketability of their energy assets
Four core buyer types assess the value of resilience, optimization and market participation for their particular use cases
As buyer needs diversify, vendors are tailoring solutions to deliver greater flexibility and functional depth
Four DERMS solution models reflect the scope and scale of buyer needs
Vendors are adopting strategic partnerships, AI and flexible architectures in response to the expanding scope and sophistication of DERMS demand
Inclusion criteria for the 2025 DERMS Buyer’s Guide
AspenTech, an Emerson business, focuses its DERMS offering on real-time awareness and control for comprehensive DER management
Enode’s API-first platform, with a focus on DER onboarding and multi-asset coordination, is built for energy retailers
GE Vernova leverages unified grid management to coordinate transmission and edge systems
Hitachi Energy offers a utility-oriented DERMS built on its grid operations and software heritage
mPrest combines DER orchestration based on market signals with grid optimization
OATI’s webSmartEnergy DERMS supports many grid/edge configurations
Schneider Electric delivers grid orchestration with AI-driven planning, simulation and predictive load management
Siemens offers an AI-driven digital twin for grid management
Smarter Grid Solutions (SGS) provides preventative and corrective DER control with dynamic aggregation
Uplight enables edge flexibility with a technology-agnostic DER platform
Table of figures
Figure 1. Demand for DERMS is expanding to the commercial and industrial sectorFigure 2. Edge-side stakeholders are considering grid interactivity as a revenue stream
Figure 3. Overview of DERMS buyer profiles
Figure 4. Core DERMS functionality
Figure 5. DERMS solution fit matrix
Figure 6. List of DERMS software providers
Figure 7. AspenTech DERMS solution overview
Figure 8. Enode DERMS solution overview
Figure 9. GE Vernova DERMS solution overview
Figure 10. Hitachi Energy DERMS solution overview
Figure 11. mPrest DERMS solution overview
Figure 12. OATI DERMS solution overview
Figure 13. Schneider Electric DERMS solution overview
Figure 14. Siemens DERMS solution overview
Figure 15. Smarter Grid Solutions (SGS) DERMS solution overview
Figure 16. Uplight DERMS solution overview
Organisations mentioned
ABB, Alliant Energy, AlphaESS, Alstom, Amazon, AspenTech, Avangrid, California Public Utilities Commission (CPUC), Camus Energy, ChargePoint, CK Energy, Doosan GridTech, EDP, Electricity Generating Authority of Thailand, Electricity North West Limited, Electricity Supply Board (Ireland), Emerson, Endeavour Energy, Enel X, energy & meteo systems (emsys), Energy Queensland, EnergyHub, Enode, ETAP, Evergen, Fjordkraft, Fox ESS, GE Vernova, Generac, go-e, Google, Greenely, GridPoint, gridX, Hitachi Energy, Honeywell, Iberdrola, Institute of Electrical and Electronics Engineers (IEEE), Israel Electric Corporation (IEC), Itron, Kraken, Legrand, Lunar Energy, Mitsubishi Electric, Monta, mPrest, National Grid, North Carolina Electric Cooperatives, NREL (National Renewable Energy Laboratory), Nuvve, OATI, Octopus Energy Group, Open Grid Systems, OpenADR Alliance, Oracle, Ostrom, OVO Energy, Pacific Gas & Electric (PG&E), Pod Point, Portland General Electric (PGE), Puget Sound Energy (PSE), PXiSE, Resideo, SA Power Networks, Sacramento Municipal Utility District (SMUD), Salt River Project (SRP), San Diego Gas & Electric (SDG&E), SCE, Schneider Electric, Scottish Power Energy Networks, Siemens, Smart Electric Power Alliance (SEPA), Smarter Grid Solutions (SGS), Statnett, Stedin, Tesla, UK National Energy System Operator (NESO), University of Strathclyde, Uplight, US Department of Energy, US Federal Energy Regulatory Commission (FERC), Vattenfall, Virtual Peaker, Xcel EnergyAbout the authors
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