FERC rejects MISO plan to speed generation interconnection

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FERC rejects MISO plan to speed generation interconnection

Federal regulators on Friday rejected the Midcontinent Independent System Operator’s plan to fast-track new generation interconnections, arguing the proposal lacked limits on the number of projects that could be considered. MISO filed its Expedited Resource Addition Study process, or ERAS, in March, to provide a framework for the accelerated study of generation it said could […]

MISO filed its Expedited Resource Addition Study process, or ERAS, in March, to provide a framework for the accelerated study of generation it said could address urgent resource adequacy and reliability needs. Under the proposal, projects entering the ERAS process would have been studied serially each quarter and granted an expedited interconnection agreement within 90 days.

But renewable energy stakeholders argued the proposal could add chaos “to an already complex process.”

In a 2-1 vote, FERC commissioners denied the proposal.

The ERAS proposal “places no limit on the number of projects that could be entered in the ERAS process, which could result in an ERAS queue with processing times for interconnection requests that are too lengthy to meet MISO’s stated resource adequacy and reliability needs,” Commissioners David Rosner and Lindsay See wrote in their decision.

MISO’s proposed tariff language, for example, did not limit the number of interconnection requests or total megawatts of interconnection requests that are eligible to enter the ERAS queue, they noted.

“MISO proposes up to 14 opportunities to enter the ERAS process through 2028, which could further impede MISO’s ability to process ERAS requests on an expedited basis,” according to the decision.

FERC Chairman Mark Christie dissented, though he said he did not disagree with the majority’s criticism.

“I am willing, however, to extend to both the states and MISO a trust that they would implement the ERAS proposal in a manner that would promote the construction of badly needed generation capacity that serves resource adequacy and reliability,” Christie wrote. “One thing we know with no need for further proof: This country, including MISO, is heading for a reliability crisis caused by early retirements of dispatchable resources coupled with the failure to construct sufficient equivalent capacity, all while demand rises at an unprecedented pace largely driven by data center growth.”

The MISO region has less supply capacity available now than it did last summer due to generator retirements and less firm imports and “could face supply shortfalls during above-normal peak demand,” North American Electric Reliability Corp. said Wednesday in its annual 2025 Summer Reliability Assessment. MISO officials have said they expect peak demand may reach nearly 123 GW, but they say there is about 138 GW of regularly available generation expected across the operating footprint.

MISO is reviewing the commission’s decision and “determining our appropriate next steps,” a spokesperson for the grid operator said.

“We worked closely and collaboratively with stakeholders to develop ERAS as a temporary process that will enable urgent generation projects to be built more quickly. We will continue to engage with stakeholders as we evaluate options,” MISO spokesperson Brandon Morris said.

Environmental groups celebrated the decision, saying the ERAS proposal would favor the construction of gas-fired power plants over renewables and batteries.

“It’s good to see FERC taking a deep look at extreme proposals like MISO’s here. Interconnection fast-track proposals like ERAS are fundamentally discriminatory, and the Commission made clear that discriminatory tools should only be used to address the most severe emergencies,” Sierra Club Senior Attorney Greg Wannier said in a statement.

“FERC rightly rejected the proposal from MISO to fast track connection of utility-owned methane gas projects over the queue of clean energy projects that have been waiting years to connect to the grid,” Christine Powell, deputy managing attorney for Earthjustice’s clean energy program, said in an email. “FERC’s role as an independent agency is to protect consumers, and ensure reliable affordable energy. The best way to do that is let clean energy compete fairly and openly.”

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Charging Forward: Centrica flags Rough shutdown in blow to hydrogen storage hopes

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Transmission charging adds £1bn to Scottish offshore wind farm costs

Transmission charging is making Scottish offshore wind farms £1 billion more expensive than their English counterpart. A report from Aurora Energy Research found that the potential changes, currently being considered by the UK government, would add the £1bn figure to a 1GW wind farm over the course of its operating life. The report added that reforming the transmission charging model could save billpayers £16bn and protect investments in offshore wind projects. Transmission charging is a levy placed on generators, having originally been designed to incentivise building asset near major cities in England. However, Scotland is looking to build over 45GW of offshore wind in the country’s waters, driven through the ScotWind and INTOG leasing rounds. Transmission charging is now effectively penalising generation in these areas. Scottish Renewables chief executive Claire Mack said: “Scotland’s abundant natural resources should make it the home of the UK’s biggest and most productive renewable energy projects but our outdated transmission charging rules, designed over 30 years ago, are unbalancing how the modern-day electricity network should be paid for which is negatively impacting the development of major sites. “These charges are both volatile and unpredictable, unfairly penalising Scottish projects by tens of millions of pounds every year.” © Supplied by Scottish RenewablesScottish Renewables chief executive Claire Mack. She added that the UK government cannot meet its 2030 clean power targets without Scottish offshore wind. Instead, she urged the UK government and Ofgem to implement a cap and floor model for transmission charging that alleviates these costs and keeps projects on track. “Delivering this meaningful reform will provide a stable, investment-friendly environment – one that protects the clean power projects vital to creating green jobs at scale and delivering a secure, sustainable energy system for the future,” Mack said. Transmission charging reforms According to the report, transmission

Tariff uncertainty weighs on networking vendors

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Liquid cooling becoming essential as AI servers proliferate

“Facility water loops sometimes have good water quality, sometimes bad,” says My Troung, CTO at ZutaCore, a liquid cooling company. “Sometimes you have organics you don’t want to have inside the technical loop.” So there’s one set of pipes that goes around the data center, collecting the heat from the server racks, and another set of smaller pipes that lives inside individual racks or servers. “That inner loop is some sort of technical fluid, and the two loops exchange heat across a heat exchanger,” says Troung. The most common approach today, he says, is to use a single-phase liquid — one that stays in liquid form and never evaporates into a gas — such as water or propylene glycol. But it’s not the most efficient option. Evaporation is a great way to dissipate heat. That’s what our bodies do when we sweat. When water goes from a liquid to a gas it’s called a phase change, and it uses up energy and makes everything around it slightly cooler. Of course, few servers run hot enough to boil water — but they can boil other liquids. “Two phase is the most efficient cooling technology,” says Xianming (Simon) Dai, a professor at University of Texas at Dallas. And it might be here sooner than you think. In a keynote address in March at Nvidia GTC, Nvidia CEO Jensen Huang unveiled the Rubin Ultra NVL576, due in the second half of 2027 — with 600 kilowatts per rack. “With the 600 kilowatt racks that Nvidia is announcing, the industry will have to shift very soon from single-phase approaches to two-phase,” says ZutaCore’s Troung. Another highly-efficient cooling approach is immersion cooling. According to a Castrol survey released in March, 90% of 600 data center industry leaders say that they are considering switching to immersion

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“If you want to ask Codex a question about your codebase, click “Ask”. Each task is processed independently in a separate, isolated environment preloaded with your codebase. Codex can read and edit files, as well as run commands including test harnesses, linters, and type checkers. Task completion typically takes between 1 and 30 minutes, depending on complexity, and you can monitor Codex’s progress in real time,” according to OpenAI. “Once Codex completes a task, it commits its changes in its environment. Codex provides verifiable evidence of its actions through citations of terminal logs and test outputs, allowing you to trace each step taken during task completion,” OpenAI wrote. “You can then review the results, request further revisions, open a GitHub pull request, or directly integrate the changes into your local environment. In the product, you can configure the Codex environment to match your real development environment as closely as possible.” OpenAI is releasing Codex as a research preview: “We prioritized security and transparency when designing Codex so users can verify its outputs – a safeguard that grows increasingly more important as AI models handle more complex coding tasks independently and safety considerations evolve. Users can check Codex’s work through citations, terminal logs and test results,” OpenAI wrote. Internally, technical teams at OpenAI have started using Codex. “It is most often used by OpenAI engineers to offload repetitive, well-scoped tasks, like refactoring, renaming, and writing tests, that would otherwise break focus. It’s equally useful for scaffolding new features, wiring components, fixing bugs, and drafting documentation,” OpenAI stated. Cisco’s view of agentic AI Patel stated that Codex is part of the developing AI agent world, where Cisco envisions billions of AI agents will work together to transform and redefine the architectural assumptions the industry has relied on. Agents will communicate within and

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AMD announced a five-year, $10 billion collaboration with Humain to deploy up to 500 megawatts of AI compute in Saudi Arabia and the US, aiming to deploy “multi-exaflop capacity by early 2026.” AWS, too, is expanding its data centers in Saudi Arabia to bolster Humain’s cloud infrastructure. Saudi Arabia has abundant oil and gas to power those data centers, and is growing its renewable energy resources with the goal of supplying 50% of the country’s power by 2030. “Commercial electricity rates, nearly 50% lower than in the US, offer potential cost savings for AI model training, though high local hosting costs due to land, talent, and infrastructure limit total savings,” said Eric Samuel, Associate Director at IDC. Located near Middle Eastern population centers and fiber optic cables to Asia, these data centers will offer enterprises low-latency cloud computing for real-time AI applications. Late is great There’s an advantage to being a relative latecomer to the technology industry, said Eric Samuel, associate director, research at IDC. “Saudi Arabia’s greenfield tech landscape offers a unique opportunity for rapid, ground-up AI integration, unburdened by legacy systems,” he said.

AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers

Humain will deploy the Nvidia Omniverse platform as a multi-tenant system to drive acceleration of the new era of physical AI and robotics through simulation, optimization and operation of physical environments by new human-AI-led solutions. The AMD deal did not discuss the number of chips involved in the deal, but it is valued at $10 billion. AMD and Humain plan to develop a comprehensive AI infrastructure through a network of AMD-based AI data centers that will extend from Saudi Arabia to the US and support a wide range of AI workloads across corporate, start-up, and government markets. Think of it as AWS but only offering AI as a service. AMD will provide its AI compute portfolio – Epyc, Instinct, and FPGA networking — and the AMD ROCm open software ecosystem, while Humain will manage the delivery of the hyperscale data center, sustainable power systems, and global fiber interconnects. The partners expect to activate a multi-exaflop network by early 2026, supported by next-generation AI silicon, modular data center zones, and a software platform stack focused on developer enablement, open standards, and interoperability. Amazon Web Services also got a piece of the action, announcing a more than $5 billion investment to build an “AI zone” in the Kingdom. The zone is the first of its kind and will bring together multiple capabilities, including dedicated AWS AI infrastructure and servers, UltraCluster networks for faster AI training and inference, AWS services like SageMaker and Bedrock, and AI application services such as Amazon Q. Like the AMD project, the zone will be available in 2026. Humain only emerged this month, so little is known about it. But given that it is backed by Crown Prince Salman and has the full weight of the Kingdom’s Public Investment Fund (PIF), which ranks among the world’s largest and

Check Point CISO: Network segregation can prevent blackouts, disruptions

Fischbein agrees 100% with his colleague’s analysis and adds that education and training can help prevent such incidents from occurring. “Simulating such a blackout is impossible, it has never been done,” he acknowledges, but he is committed to strengthening personal and team training and risk awareness. Increased defense and cybersecurity budgets In 2025, industry watchers expect there will be an increase in the public budget allocated to defense. In Spain, one-third of the budget will be allocated to increasing cybersecurity. But for Fischbein, training teams is much more important than the budget. “The challenge is to distribute the budget in a way that can be managed,” he notes, and to leverage intuitive and easy-to-use platforms, so that organizations don’t have to invest all the money in training. “When you have information, management, users, devices, mobiles, data centers, clouds, cameras, printers… the security challenge is very complex. You have to look for a security platform that makes things easier, faster, and simpler,” he says. ” Today there are excellent tools that can stop all kinds of attacks.” “Since 2010, there have been cybersecurity systems, also from Check Point, that help prevent this type of incident from happening, but I’m not sure that [Spain’s electricity blackout] was a cyberattack.” Leading the way in email security According to Gartner’s Magic Quadrant, Check Point is the leader in email security platforms. Today email is still responsible for 88% of all malicious file distributions. Attacks that, as Fischbein explains, enter through phishing, spam, SMS, or QR codes. “There are two challenges: to stop the threats and not to disturb, because if the security tool is a nuisance it causes more harm than good. It is very important that the solution does not annoy [users],” he stresses. “As almost all attacks enter via e-mail, it is

Microsoft will invest $80B in AI data centers in fiscal 2025

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

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Gemini 2.5 Pro now thinks deeply; 2.5 Flash beefed up across all dimensions

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