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Google and AES Sign Agreements for Co-Located Generation and Data Center in Texas

LCG, February 24, 2026--The AES Corporation (AES) and Google today announced agreements for clean power generation that will be co-located with a new Google data center in Wilbarger County, Texas. The agreements include a 20-year Power Purchase Agreements (PPA) for co-located power generation. These coordinated energy projects and powered land will enable Google to rapidly expand its operations to meet demand for core services, while AES will expand its power generation portfolio.

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Amazon Announces Plans to Invest $12 Billion in Data Center Campuses in Louisiana

LCG, February 23, 2026--Amazon today announced plans to invest $12 billion to develop and construct state-of-the-art data center campuses in northwest Louisiana that will support cloud computing technologies. Amazon is partnering with STACK Infrastructure, the developer and owner of the campuses, to lead the construction and development of the data center facilities. Amazon has already invested in solar energy projects in Louisiana, bringing up to 200 MW of new carbon-free energy onto the grid.

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Press Release

LCG Releases January–March 2026 PJM Congestion Outlook Featuring Fundamentals-Based 3-Month Forecast

LCG, December 2, 2025 — LCG today announced the release of its PJM Congestion Outlook for January–March 2026, delivering a fundamentals-based, three-month forecast designed to help traders and risk managers better navigate congestion risks in PJM’s FTR markets.

Congestion continues to play a central role in price formation and financial exposure across PJM. To provide deeper insight into upcoming market conditions, LCG has developed a comprehensive three-month nodal model simulating the PJM Day-Ahead Energy Market for the first quarter of 2026.

Built on a bottom-up, fundamentals-driven methodology using the UPLAN Network Power Model™, the study integrates key variables—including generation, load, outages, and transmission dynamics—to identify where and when constraints are most likely to occur.

“These insights allow market participants to anticipate congestion patterns, optimize bidding strategies, and strengthen risk-management decisions heading into the next auctions,” LCG said.

Market participants preparing for the upcoming auction cycle can request further information or discuss detailed results by contacting info@energyonline.com.
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UPLAN-NPM
The Locational Marginal Price Model (LMP) Network Power Model
Uniform Storage Model
A Battery Simulation Model
UPLAN-ACE
Day Ahead and Real Time Market Simulation
UPLAN-G
The Gas Procurement and Competitive Analysis System
PLATO
Database of Plants, Loads, Assets, Transmission...
CAISO CRR Auctions
Monthly Price and Congestion Forecasting Service