RENEWCONNECT - All about renewables & power sector

  Electrification is accelerating, renewables are surging, and variability is turning operations —not just capacity —into the critical bottleneck. In this context, AI‑optimised real‑time generation is a high‑leverage intervention: it boosts efficiency and reliability, unlocks flexibility, and reduces emissions— if deployed with robust data foundations, market alignment, and safety‑by‑design. Global bodies (IRENA, DOE, PNNL/NREL) now frame digitalisation and AI as decisive enablers of the power transition, prioritising five value clusters: monitoring , forecasting , operational optimisation , end‑use automation , and transparency . [irena.org] , [energy.gov] India is already moving: Automatic Generation Control (AGC) signals from NLDC/Grid‑India adjust generator output every 4 seconds to stabilise frequency, with >50–70 plants and >51–67 GW under AGC; secondary reserves and SRAS frameworks are rolling out; and NTPC is launching fleet‑wide AI monitoring with Toshiba’s Eta...

Here are some of the top AI tools that are widely recognized for various applications in different segments used for text-to-image-to-video generation based on the instructions given by the users, data analytics, and business analytics, content creation, coding in different platforms, automated answering the users based on the queries, etc.: 1. ChatGPT (OpenAI) Purpose : Natural language understanding and text generation. Use Cases : Customer support, content creation, coding assistance, education, etc. 2. Google Bard Purpose : Conversational AI and research assistant. Use Cases : Answering queries, assisting with research, and generating content. 3. Jasper AI Purpose : AI-driven content generation. Use Cases : Writing blogs, social media posts, marketing copies, and emails. 4. MidJourney Purpose : AI-based image generation. Use Cases : Graphic design, digital art, and creative content creation. 5. DALL·E 3 (OpenAI) Purpose : Text-to-image generation. Use Cases : Creating visuals, art,...

In the broader data ecosystem , Data Science is interconnected with several related fields, each contributing to or benefiting from the insights and methods developed within Data Science. These topics form an integrated system that enhances data-driven decision-making and technological advancements. Below are key areas linked with Data Science: 1. Big Data Description : Refers to extremely large datasets that are challenging to process using traditional methods due to their volume, velocity, variety, and veracity (4 V’s). Link to Data Science : Data science methods, such as machine learning and statistical analysis, are applied to extract insights from Big Data. Technologies like Hadoop, Apache Spark, and distributed databases help manage and process this data. Application : Real-time analytics, fraud detection, personalization in e-commerce, social media analysis. 2. Artificial Intelligence (AI) Description : The simulation of human intelligence processes by machines, particularly com...