Getting your news
Attempting to reconnect
Finding the latest in Climate
Hang in there while we load your news feed
Massachusetts Data Center Intel
16 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
-
ISO-NE updates day-ahead ancillary services model effective Nov. 1, 2026
Source: ISO New England Inc. · Oct 16, 2026ISO New England’s Oct. 16, 2026 memo says it is updating its day-ahead ancillary services statistical model effective Nov. 1, 2026. ISO-NE explains that the model is used “to calculate hourly strike prices for day-ahead ancillary services” and “the expected close-out component of day-ahead energy option offer benchmark levels,” and that the latest retraining period is “10/1/2021 to 9/30/2026.”
Backed by 1 primary filing — sign in or book a call to see all sources.
-
ISO-NE reduces reserve non-performance factor to 110% (non-performance factor updates)
Source: ISO New England · Oct 20, 2026ISO New England said it will reduce the reserve non-performance factor from 115% to 110% effective Operating Day November 1, 2026, following a review of historical contingency response and reserve performance. The presentation also notes prior and related day-ahead ancillary service changes, including that “The ISO’s Internal Market Monitor (IMM) issued a set of DA A/S recommendations” and that “Other DA A/S adjustments … are expected to be implemented on October 22, effective Operating Day October 23, 2026.”
Backed by 1 primary filing — sign in or book a call to see all sources.
-
ISO-NE presents Order No. 1920 compliance FSP and construction-bid model proposal
Source: ISO New England · Oct 14, 2026ISO New England says FERC Order No. 1920 is driving a major transmission-planning compliance change: the ISO’s regional and interregional compliance filings are due June 14, 2027, and the first FSP cycle must start by June 14, 2029. The ISO is also proposing a new Future Scenario Planning process and recommending a switch from the sponsorship model to a construction-bid model for FSP RFPs, saying it is “proposing to use the construction bid competitive model for the FSP process.”
Backed by 1 primary filing — sign in or book a call to see all sources.
-
ISO-NE explains wholesale electricity markets, LMP, and day-ahead/real-time settlement (ISO 101)
Source: ISO New England · Oct 06, 2026ISO New England’s October 6, 2026 training says market operations are overseen by ISO’s Internal Market Monitor, an external market monitor, FERC’s Office of Energy Market Regulation, Market Rule 1, and the Tariff. It also explains that locational marginal prices “reflect transmission congestion through prices” and “send an investment signal to bring power to areas that most need it.”
Backed by 1 primary filing — sign in or book a call to see all sources.
-
ISO-NE agenda includes integration of large loads (Nov. 10, 2026)
Source: ISO New England · Nov 10, 2026At ISO New England’s November 10, 2026 open board meeting, the agenda included management reports on “Integration of Large Loads,” signaling policy discussion relevant to large-load interconnection in Massachusetts and the ISO-NE footprint.
Backed by 1 primary filing — sign in or book a call to see all sources.
Recent Massachusetts data center news
-
Startup aims to transform the power grid with superconducting transmission lines
VEIR, founded by Tim Heidel, is revolutionizing power grids with superconducting transmission lines in Woburn, Massachusetts. The technology can carry 5-10 times more power than conventional lines, crucial for expanding transmission capacity in the U.S. and Europe. VEIR aims to deploy high-capacity lines by 2026 to support renewable energy growth and decarbonization efforts.
-
JLL to acquire data center design, engineering services firm SKAE
JLL has announced the acquisition of SKAE Power Solutions, a data center design and engineering services firm, in response to the rising demand for data storage driven by AI and IoT. Founded in 1998, SKAE offers technical services to various industries in the U.S., enhancing JLL’s ability to support clients’ data center solutions.
-
Oracle unveils $10B data center expansion plan
Oracle plans a $10B data center expansion to compete with Google and Amazon. Supply chain issues slow down construction, while demand for data centers grows. Oracle claims to improve project delivery times. Ellison mentions enhancements in building speed. Google and Amazon have ongoing data center projects in various U.S. locations.
-
Oracle unveils $10B data center expansion plan
Oracle is planning a $10 billion data center expansion to compete with Google and Amazon. Despite supply chain challenges, Oracle aims to build data centers more efficiently. CEO Ellison emphasized faster project delivery. Google and Amazon have initiated multiple data center projects across the U.S., facing similar construction hurdles.
-
Startup accelerates progress toward light-speed computing
Lightmatter, co-founded by MIT alumni including Nicholas Harris, pioneers light-based data processing and transfer in chips, aiming to enhance computing efficiency. Their chips, utilizing photons and electrons, target AI operations and data transfer between chips. With a recent $300 million funding, Lightmatter collaborates with major tech companies to reduce energy consumption in AI and data centers.
-
New tools are available to help reduce the energy that AI models devour
The MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to reduce energy use in data centers, particularly for AI models. They have found that power-capping hardware and early stopping during AI training can significantly decrease energy consumption without impacting model performance. The LLSC has also created a software that allows data center owners to set power limits on GPUs. They have developed a model for hyperparameter optimization that reduces energy waste, and an optimizer that matches models with the most carbon-efficient mix of hardware for inference. These interventions have the potential to advance the way AI models are trained and decrease energy consumption by 10-20%. The LLSC team is promoting transparency and sustainability in the industry and is collaborating with manufacturers and the U.S. Air Force to implement their energy-saving techniques in other data centers.