<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Novomation]]></title><description><![CDATA[Novomation]]></description><link>https://www.novomation.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Wed, 20 May 2026 01:17:18 GMT</lastBuildDate><atom:link href="https://www.novomation.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[How Novomation's AI Platforms Enhance Energy Management Solutions]]></title><description><![CDATA[<p>Energy management is no longer a matter of monitoring a few centralized assets and adjusting output on a predictable schedule. With distributed generation,]]></description><link>https://www.novomation.com/post/how-novomations-ai-platforms-enhance-energy-management-solutions</link><guid isPermaLink="false">69da83ee515c02011a0f0032</guid><category><![CDATA[Digital Transformation]]></category><pubDate>Sat, 11 Apr 2026 17:25:03 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_9aaeb576ff0441b2a1df25a3ee79c0d3~mv2.png/v1/fit/w_864,h_576,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Top 5 Mistakes Companies Make in Digital Transformation]]></title><description><![CDATA[<p>Digital transformation is often framed as a technology challenge, but most failures begin long before tools are selected or systems are deployed. Companies]]></description><link>https://www.novomation.com/post/top-5-mistakes-companies-make-in-digital-transformation</link><guid isPermaLink="false">69b8fc0dea38c468abde10b0</guid><category><![CDATA[Digital Transformation]]></category><pubDate>Tue, 17 Mar 2026 07:00:29 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_3abb96cfbcd1446f87e808857ea6d4fb~mv2.png/v1/fit/w_512,h_512,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Integrating agentic AI and digital twins for intelligent decision-making systems]]></title><description><![CDATA[Energy and critical infrastructure systems are entering a new phase of complexity. Decentralisation, volatility, regulatory pressure, and cybersecurity risk demand more than automation, but they require cognitive, adaptive decision-making at scale. A recent research on integrating Agentic AI with Digital Twins outlines a strategic architecture for next-generation intelligent infrastructure.  At its core: LLM-driven agents provide reasoning, planning, and goal-oriented autonomy. Digital twins...]]></description><link>https://www.novomation.com/post/integrating-agentic-ai-and-digital-twins-for-intelligent-decision-making-systems</link><guid isPermaLink="false">69b0dec3a547e1dd3d7e9777</guid><pubDate>Wed, 11 Mar 2026 03:18:03 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_2aae0d7f035749c9a71b5753f533812e~mv2.jpg/v1/fit/w_1000,h_760,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Agentic engineering: Next big AI trend after vibe coding]]></title><description><![CDATA[We’ve moved fast from vibe coding to something more profound: agentic engineering. Instead of writing every line of code, we’re increasingly defining intent, constraints, and quality while AI agents plan, reason and build. The role of engineers is shifting from “doing” to architecting, guiding, and governing. In this new paradigm, engineers become architects of intent and orchestrators of AI workflows, moving from hands-on coding to AI governance, design, and supervision. This shift has deep...]]></description><link>https://www.novomation.com/post/agentic-engineering-next-big-ai-trend-after-vibe-coding</link><guid isPermaLink="false">69b0dde18433d506464523bd</guid><pubDate>Wed, 11 Mar 2026 03:15:13 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_b799f919738744728a0a669264cad34b~mv2.webp/v1/fit/w_900,h_515,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Non-cooperative game theoretic-based two-stage nested optimization model for energy hub pricing and management considering extreme conditions]]></title><description><![CDATA[Extreme events are reshaping how energy systems must be designed and operated. The latest paper of the National Natural Science Foundation of China presents a game-theoretic, two-stage optimisation framework for energy hub pricing and management that jointly improves economic performance and resilience. By coordinating heterogeneous energy sources while ensuring a Nash equilibrium, the proposed approach delivers: • Up to 22.5% reduction in load loss under extreme scenarios. • 4–5% improvement...]]></description><link>https://www.novomation.com/post/non-cooperative-game-theoretic-based-two-stage-nested-optimization-model-for-energy-hub-pricing-and</link><guid isPermaLink="false">69b0dd218433d5064645221d</guid><pubDate>Wed, 11 Mar 2026 03:12:07 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_28396b639b3144aaa9f22a8c49507502~mv2.jpg/v1/fit/w_800,h_229,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Grid-Scale Bubble Batteries Will Soon Be Everywhere]]></title><description><![CDATA[The energy transition requires infrastructure decisions that balance innovation, capital discipline, and regulatory stability. This latest IEEE Spectrum piece highlights how CO₂-based batteries are emerging as a promising solution for storing large amounts of renewable energy at the grid scale, well beyond the 4–8 hours typically achievable with lithium-ion systems.  Instead of relying on critical minerals, these systems use compressed and expanded CO₂ in a closed thermodynamic loop to store...]]></description><link>https://www.novomation.com/post/grid-scale-bubble-batteries-will-soon-be-everywhere</link><guid isPermaLink="false">69b0dca622bc04bb87fa6d28</guid><pubDate>Wed, 11 Mar 2026 03:09:25 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_6a1671fc20ee4b89a05147a486c31b68~mv2.webp/v1/fit/w_1000,h_800,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Negative Electric Vehicle Emissions: Vehicle-to-Grid Can Incentivize Enough Wind and Solar Investment to Reverse EV Charging Emissions]]></title><description><![CDATA[Sometimes, nature reminds us who’s really in charge. The sun doesn’t shine more just because we need electricity at 7 PM. The wind doesn’t wait for peak demand. And without robust storage, that clean energy simply slips away. But what if our electric vehicles could help balance nature’s rhythm? A new study from the University of Michigan and Carnegie Mellon University suggests that by strategically charging EVs — and letting them send stored energy back to the grid — we could access cheaper,...]]></description><link>https://www.novomation.com/post/negative-electric-vehicle-emissions-vehicle-to-grid-can-incentivize-enough-wind-and-solar-investmen</link><guid isPermaLink="false">69b0dbee22bc04bb87fa6bbe</guid><pubDate>Wed, 11 Mar 2026 03:06:47 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_189ed2613d664dff9ad78e9f52a048a2~mv2.webp/v1/fit/w_500,h_273,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Creation of a new “Trading as a Service” dedicated to battery storage systems]]></title><description><![CDATA[TRADING-AS-A-SERVICE for battery storage systems combine advanced BESS profit optimisation algorithms—already proven effective in both wholesale markets (day-ahead, intraday) and system services (FCR, aFRR). Greensolver and StackEase have teamed up to support French energy developers with cutting-edge financial modelling and market opportunity analysis for battery energy storage systems (BESS). This work will be grounded in real-world references, including investment and operating costs...]]></description><link>https://www.novomation.com/post/creation-of-a-new-trading-as-a-service-dedicated-to-battery-storage-systems</link><guid isPermaLink="false">69b0dae38433d50646451d3f</guid><pubDate>Wed, 11 Mar 2026 03:03:20 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_7f874ce3c9294e86bd9b31a650d74c91~mv2.jpg/v1/fit/w_1000,h_800,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Multipath Routing Scheme for Optimum Data Transmission in Dense Internet of Things]]></title><description><![CDATA[Multipath routing in Autonomous Fault Detection and Recovery System for IoT networks (AFDRS-IoT) enables data to be transferred more efficiently than single-path routing. To choose routes, one needs to solve the problem of traffic distribution. Mathematicians from RUDN University have developed a new routing algorithm that optimally splits traffic, thereby improving network speed and reliability. The Internet of Things (IoT) is an emerging technology that has recently gained significant...]]></description><link>https://www.novomation.com/post/multipath-routing-scheme-for-optimum-data-transmission-in-dense-internet-of-things</link><guid isPermaLink="false">69b0d95522bc04bb87fa6583</guid><pubDate>Wed, 11 Mar 2026 02:58:36 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_d37d9dba197548afa0e71ca4d47e7dbc~mv2.jpg/v1/fit/w_550,h_378,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[AI Model Harnesses Physics to Autocorrect Remote Sensing Data]]></title><description><![CDATA[Via physics-informed machine learning, we can get good accuracy with limited data while not relying on much prior knowledge, such as where the sensor or the sun was. A James Koch (PNNL data scientist) paper at the International Geoscience and Remote Sensing Symposium in Athens, Greece. Turbulence, temperature changes, water vapor, carbon dioxide, ozone, methane, and other gases absorb, reflect, and scatter sunlight as it passes through the atmosphere, bounces off the Earth’s surface, and is...]]></description><link>https://www.novomation.com/post/ai-model-harnesses-physics-to-autocorrect-remote-sensing-data</link><guid isPermaLink="false">69b0d83200ff578fc8eabf7e</guid><pubDate>Wed, 11 Mar 2026 02:52:38 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_fe3eda549f9a4b68b6d9c3058dc41efe~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Emotions may matter more than facts in shaping individual support for renewable energy, new study shows]]></title><description><![CDATA[Should Canada “axe the tax ?” Is it time to end the tax breaks to Canadian fossil fuel companies  and invest in renewable energy ? Are electric vehicles  a good investment? Should governments put the brakes  on solar panels and wind turbines? These are big questions that matter for the economy, the environment and our futures. In answering these questions, people will likely consider the costs and benefits of each approach. Yet, people are not robots. People have thoughts, feelings and...]]></description><link>https://www.novomation.com/post/emotions-may-matter-more-than-facts-in-shaping-individual-support-for-renewable-energy-new-study-sh</link><guid isPermaLink="false">69b0d6b54b8043385bd4764f</guid><pubDate>Wed, 11 Mar 2026 02:47:40 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_69ca4e48f5e74ecebf6d13bb6c065521~mv2.avif/v1/fit/w_1000,h_668,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item><item><title><![CDATA[Is green growth happening? An empirical analysis of achieved versus Paris-compliant CO2–GDP decoupling in high-income countries]]></title><description><![CDATA[High-income countries would take over 200 years to get their emissions close to zero to comply with the climate targets of the Paris Agreement. Economic growth vs ecological sustainability, well-being, and fairness. Summary Background Scientists have raised concerns about whether high-income countries, with their high per-capita CO 2  emissions, can decarbonise fast enough to meet their obligations under the Paris Agreement if they continue to pursue aggregate economic growth. Over the past...]]></description><link>https://www.novomation.com/post/is-green-growth-happening-an-empirical-analysis-of-achieved-versus-paris-compliant-co2-gdp-decoupli</link><guid isPermaLink="false">69b0d4f58433d50646450f9e</guid><pubDate>Wed, 11 Mar 2026 02:40:45 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/2a9055_b86f2040b332464fb129b409ee4c78ac~mv2.jpg/v1/fit/w_645,h_491,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>skoumantakis</dc:creator></item></channel></rss>