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Massachusetts Data Center Intel
4 verified signals across 1 counties tracked daily.
Massachusetts · Construction & power moves · 1
full tracker →Land, power, and interconnection moves across Massachusetts — each traced to primary filings.
Counties
| County | Last 7d | Total |
|---|---|---|
| Hampshire County | 0 | 1 |
Top JUST IN — Massachusetts
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Gaussian Mixture Model (GMM) Update: Incorporating Massachusetts Hub Electricity Futures into Day-Ahead Ancillary Services (DAAS) Forecasted Real-Time Energy Prices
Source: ISO New England Inc. · Jul 22, 2026ISO New England Inc. says it has “recently filed a targeted set of changes to the DA A/S market including adjustments to Forecast Energy Requirement Demand Quantity (FER DQ) and the introduction of a strike price floor,” and that these changes “are intended to address inefficiencies in the DA A/S market identified by the IMM.” The memo also says ISO-NE is “planning to use Massachusetts Hub day-ahead energy futures prices from Intercontinental Exchange” to update its real-time price forecasts, a technical market-design change in Massachusetts.
Backed by 1 primary filing — sign in or book a call to see all sources.
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Abeyance Request and Section 205 Filing: New England Large and Co-Located Loads Show Cause Order (EL26-72)
Source: ISO New England · Jul 16, 2026ISO New England says FERC opened a Section 206 proceeding and preliminarily found ISO-NE’s tariff “unjust, unreasonable, or unduly discriminatory or preferential due to a lack of large and co-located load integration provisions.” ISO-NE and the PTOs plan to seek a 90-day abeyance by August 3, 2026, which would let them file Section 205 tariff changes on November 16, 2026 to address FERC’s five reform categories, including cost transparency, co-location rules, flexible load service, and generation studies.
Backed by 1 primary filing — sign in or book a call to see all sources.
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ISO-NE System Forecasting Public Webinar – 2026 CELT Overview
Source: ISO New England · Jun 24, 2026ISO New England’s June 24, 2026 public webinar on the 2026 CELT report says large loads, including data centers, are now part of its demand modeling: it added a “large loads forecast,” notes “Data Centers,” and says “Only a few projects in formal study (<300 MW).” ISO-NE also says the near-term impact is “Minimal” before 2027-2028, with a longer-term “~110–130 MW impact to peak demand by 2030s–2040s.”
Backed by 1 primary filing — sign in or book a call to see all sources.
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Consumer Liaison Group Meeting Summary
Source: ISO New England · Jun 02, 2026ISO New England’s June 2, 2026 Consumer Liaison Group meeting summary says the 2026 CELT forecast now includes “new methodologies to forecast the growth in load driven by data centers,” while noting that “near-term impacts remain relatively modest” and that there is “uncertainty” about future projects (ISO New England). The summary also highlights large-load risks including “infrastructure constraints,” “timing mismatches between load growth and system upgrades,” and “increased reliance on pipeline infrastructure,” and says data-center costs should be borne “primarily by those facilities rather than existing ratepayers” (ISO New England).
Backed by 1 primary filing — sign in or book a call to see all sources.
Recent Massachusetts data center news
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FSNet finds feasible power grid solutions in minutes, outperforming tried-and-true tools
MIT researchers developed FSNet, a feasibility-seeking neural-network tool that finds deployable power-grid optimization solutions orders of magnitude faster than conventional solvers.
- Main announcement: MIT (Priya Donti and lead author Hoang Nguyen) unveiled FSNet, a two-step framework that combines a neural-network predictor with a feasibility-seeking optimization step to ensure solutions meet equality and inequality constraints; the paper is open-access on arXiv (DOI: 10.48550/arxiv.2506.00362) and will be presented at NeurIPS 2025 (Dec. 2–7, San Diego). The team reports FSNet cut solving times by orders of magnitude versus baseline approaches and sometimes produced better solutions for very complex problems.
- Background and details: FSNet uses the neural network prediction as a starting point and an incorporated traditional solver to iteratively refine until constraints are satisfied; it is designed to be plug-and-play with different solvers, handle both constraint types simultaneously, outperformed pure ML approaches on feasibility, and the authors plan to make FSNet less memory-intensive and scale it to more realistic problems.
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Beyond compute: Infrastructure that powers and cools AI data centers
McKinsey & Company projects AI-driven demand for data centers and the related capital and design implications.
- Main announcement/action: McKinsey & Company reports that AI-driven demand will expand data center capacity to 220 gigawatts by 2030 (a CAGR of 22%) and estimates $6.7 trillion in cumulative capital outlays worldwide by 2030 to meet compute demand; the report focuses on advances in power and cooling equipment and the need for codesigned systems.
- Background and details: The article emphasizes that power, cooling, and IT components must be codesigned, highlights opportunities for equipment manufacturers to pursue vertical integration and provide end-to-end services (repair, maintenance, commissioning), and notes time to market as a key buying preference for data center operators.
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GE Vernova Turbine Will Power New Indiana Gas-Fired Plant
Maple Creek Energy LLC has secured an agreement to purchase a GE Vernova 7HA.03 gas turbine (single-shaft) and associated services for phase one of the two-phase Maple Creek natural gas-fired power project in Sullivan County, Indiana (agreement announced October 27).
Main announcement: Maple Creek (owned by ArcLight Capital Partners) will procure a GE Vernova 7HA.03 turbine for the first phase of a two-phase, >1.2 GW combined-cycle facility; the agreement includes existing permits, land control, and transmission interconnection, and equipment procurement is being funded by ArcLight Capital Partners. The project is being developed by Advanced Power with BDC Power Holdings (a Bechtel company) and expects commercial operation as soon as 2029. Bechtel Infrastructure & Power Corp. will serve as the EPC.
Background and implementation details: The plant will use lower-carbon natural gas and recovered steam in a combined-cycle configuration to supply the MISO grid; securing the GE Vernova equipment addresses long-lead equipment procurement risk. Additional context: Advanced Power has a broader portfolio of >12 GW thermal and renewable projects and >9 GWh of storage. Event note: Experience POWER (Denver, Oct. 29-31) — GE Vernova is a sponsor and Clive Nickolay will discuss the company’s technology on Oct. 29 at 4 p.m. at the Hyatt Regency Convention Center hotel.
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Storion Energy Appoints Sue Ozdemir as Chief Executive Officer
Storion Energy announced the appointment of Sue Ozdemir as Chief Executive Officer.
- Main announcement: Sue Ozdemir named CEO to lead commercialization and rapid scale-up of domestically produced vanadium electrolyte and power assembly stacks for Vanadium Redox Flow Battery (VRFB) solutions, targeting increased long-duration energy storage needs for data centers and AI industries in the U.S.; quoted endorsement from Mike Judd (Chairman of the Board, Storion Energy; CEO & President, Stryten Energy).
- Background and details: Storion Energy is a joint venture between Stryten Energy LLC and Largo Clean Energy Corp. (a subsidiary of Largo Inc.) to support scalable domestic vanadium electrolyte production and a vertically integrated supply chain for utility-scale VRFB LDES; company locations in Alpharetta, Georgia and Wilmington, Massachusetts; VRFB solutions provide four or more hours of energy storage. Additional bio/background: Ozdemir previously served as CEO of Exro Technologies, Wolong Electric America / GE Motor Division, and GE Power Conversion; holds an Executive MBA from the University of Fredericton and was named a 2025 Canada Clean50 Honoree.
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Storion Energy Appoints Sue Ozdemir as Chief Executive Officer
Storion Energy has announced the appointment of Sue Ozdemir as Chief Executive Officer.
- Main announcement: Storion Energy appointed Sue Ozdemir as CEO to lead efforts to rapidly scale domestic production of vanadium electrolyte and power assembly stacks for Vanadium Redox Flow Batteries (VRFBs), targeting long-duration energy storage demand from data centers and AI industries. The announcement names Mike Judd (Chairman of the Board, and CEO & President of Stryten Energy) as the spokesperson welcoming the appointment.
- Background & details: Storion Energy is a joint venture between Stryten Energy LLC and Largo Clean Energy Corp. (a Largo Inc. subsidiary) to establish a vertically integrated domestic supply chain for VRFB LDES; facilities are located in Alpharetta, Georgia and Wilmington, Massachusetts. VRFB solutions are described as providing four or more hours of storage; Ozdemir’s prior roles include CEO of Exro Technologies, Wolong Electric America, and GE Power Conversion; she holds an Executive MBA from the University of Fredericton and was named a 2025 Canada Clean50 Honoree.
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Storion Energy Appoints Sue Ozdemir as Chief Executive Officer
Storion Energy has announced the appointment of Sue Ozdemir as Chief Executive Officer.
- Main announcement: Storion Energy LLC appointed Sue Ozdemir as CEO to lead commercialization and scaling of Vanadium Redox Flow Battery (VRFB) components and vanadium electrolyte production; Storion is a joint venture between Stryten Energy LLC and Largo Clean Energy Corp. and has locations in Alpharetta, Georgia and Wilmington, Massachusetts.
- Background and details: Ozdemir brings more than two decades of leadership in electric motors and batteries (former CEO roles at Exro Technologies, Wolong Electric America, and GE Power Conversion); Storion aims to supply power assembly stacks and competitively-priced vanadium electrolyte for utility-scale VRFB long-duration energy storage to meet demand from data centers and AI and other commercial/industrial users. Contact provided: Melissa Floyd, Vice President, Corporate Communications & Digital Marketing, Stryten Energy, phone 678.599.9887, email melissa.floyd@stryten.com.
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Lincoln Lab unveils the most powerful AI supercomputer at any US university
MIT Lincoln Laboratory has brought online TX-GAIN, a new AI-optimized supercomputer at the Lincoln Laboratory Supercomputing Center (LLSC), now ranked on the TOP500.
- Main announcement: TX-GAIN is an LLSC supercomputer optimized for generative AI and high-performance research, powered by more than 600 NVIDIA GPU accelerators, with a reported peak performance of two AI exaflops, and it came online this summer; it supports generative AI, physical simulation, and data analysis for Lincoln Laboratory and MIT campus researchers and federal projects (examples: FAA collision-avoidance simulation, DoD autonomous navigation).
- Background & implementation details: The LLSC emphasizes interactive supercomputing and houses systems in an energy-efficient data center in Holyoke, Massachusetts; LLSC teams are researching the energy needs of AI and have developed software that can reduce AI training energy by as much as 80%. Collaborations include Haystack Observatory, Center for Quantum Engineering, Beaver Works, and the Department of Air Force–MIT AI Accelerator; Rafael Jaimes (Counter–Weapons of Mass Destruction Systems Group) reported TX-GAIN enables modeling far more and larger protein interactions for biological defense efforts.
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Responding to the climate impact of generative AI
MIT News explores ways experts at MIT and partner institutions are working to reduce generative AI’s carbon footprint.
- Main announcement/action: MIT researchers (including MIT Lincoln Laboratory, MITEI, CSAIL, and the FutureTech Research Project) describe and test interventions to cut AI’s operational and embodied carbon through algorithmic efficiency, hardware tuning (e.g., lowering GPU power to ~three-tenths), training-time optimizations (stopping early to avoid last 2–3 percentage points of accuracy), workload scheduling to match renewable supply, long-duration energy storage, and site selection (example: Meta’s Lulea data center in northern Sweden). The article cites IEA and Goldman Sachs projections: ~945 TWh data-center electricity demand by 2030, and an analysis that ~60% of the increased demand could be met by fossil fuels, adding ~220 million tons of CO2.
- Background and additional details: Researchers developed concepts and tools such as the negaflop (algorithmic savings), MIT/Princeton’s GenX planning tool, and the Net Climate Impact Score; studies show about half the electricity for training is used to gain the final 2–3 percentage points of accuracy, and software/tooling can avoid large fractions of wasted compute (example: avoiding ~80% of wasted training simulations). The article also notes embodied carbon in data-center construction (companies like Meta and Google exploring sustainable materials) and ongoing research into flexible, multi-tenant scheduling and long-duration storage to change the emission mix of data centers.
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Which tech trends are rising to the top of the business agenda?
McKinsey senior partners Lareina Yee, Sven Smit, and partner Roger Roberts discussed McKinsey’s research on 13 frontier technology trends on The McKinsey Podcast, focusing on agentic AI, robotics, semiconductors, the energy transition, and digital trust.
- Main announcement/action: McKinsey leaders outlined concrete examples and early outcomes of agentic AI and automation in business—e.g., a sales use case that delivered an 11% increase in lead generation and conversion—while describing how organizations should onboard, train, and manage digital coworkers; they emphasized robotics examples (Schiphol wheelchair, logistics robots) and noted semiconductor and cooling innovations that reduce data-center power intensity (chips claimed to be ~1,000x more efficient in compute density over recent years).
- Background and details: The discussion framed the energy transition as a demand challenge driven by AI and rising wealth, noting the need to double energy capacity with a mix of solar, wind, nuclear, storage, and grid build-outs; McKinsey cited rapid mega-installation build rates in China (“almost every week”), supply-chain and infrastructure constraints, and the need to balance speed and affordability in deployment.
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Commonwealth Fusion Systems Raises $863 Million to Bring Fusion Power to the Grid
Commonwealth Fusion Systems announced it raised $863 million in a Series B2 round to accelerate commercialization of fusion energy.
- $863 million Series B2: Proceeds will be used to complete the SPARC demonstration machine under construction in Massachusetts and to continue development of the first grid-scale commercial plant ARC in Chesterfield, Virginia; the company aims to connect ARC to the grid in the early 2030s. CFS was spun out of MIT in 2018 and is collaborating with MIT’s Plasma Science and Fusion Center on SPARC.
- Partnerships and investors: Strategic partnerships with Dominion Energy and Google (Google agreed to purchase half the ARC plant’s output). New investors include Brevan Howard Macro Venture Fund, Morgan Stanley’s Counterpoint Global, and NVentures (NVIDIA); a consortium of 12 Japanese companies led by Mitsui, Mitsubishi, and the Development Bank of Japan backed the round. Existing backers including Breakthrough Energy Ventures, Google, Eni, and Lowercarbon Capital increased stakes; prior $1.8 billion raise in 2021 brings total funding to nearly $3 billion.