Spotlights
Drumil Joshi: Pioneering Machine Learning for the Future
In the rapidly evolving field of machine learning and artificial intelligence, few names have emerged with as much distinction and potential as Drumil Joshi. Joshi has become a beacon of innovation and insight in a domain that is reshaping every facet of our lives. As the co-author of “Machine Learning Essentials and Applications,” he has contributed significantly to academic discourse and made this complex subject accessible to a broader audience.
Drumil Joshi Of Southern Power Company On The Future Of Artificial Intelligence
AI Lacks Human Empathy in Decision-Making: AI is increasingly being used in decision-making, and it lacks the empathy that humans can bring to it. For example, when AI has to make decisions on whether one gets a loan or how healthcare is provided, it loses out on the emotional or personal contexts of a situation. This may lead to technically appropriate decisions sans compassion-a fact with which we will have to live.
AI-driven renewable energy: Interview with Drumil Joshi on VIBRIS
Published on August 18, 2025
WIONews featured Drumil Joshi, Monitoring & Diagnostics Analyst at Southern Power Company, in an exclusive interview exploring how his innovation, VIBRIS (Vibration Intelligence Bearing Reliability Integrated System), is reshaping AI-driven renewable energy.
Joshi detailed how VIBRIS combines secure token-based pipelines, HEX encoding, and a four-model anomaly detection ensemble—Isolation Forest, Local Outlier Factor, One-Class SVM, and K-Means—to forecast turbine failures before they escalate. By integrating cybersecurity with predictive analytics, the system transforms raw sensor data into actionable intelligence, detecting early faults while cutting down on false alarms.
“For me, success isn’t about accolades. It’s about preventing failures, minimising costs, and ensuring reliable clean energy,” Joshi shared. “VIBRIS stands for both technical brilliance and purpose: enabling smarter, greener operations.”
The interview highlights lessons from real-world deployment—balancing AI with domain expertise, building fleet-wide scalability, and democratising data access through intuitive dashboards and federated learning. Looking ahead, Joshi envisions expanding VIBRIS across solar, BESS, and intelligent grid systems, laying the foundation for resilient, adaptive, and sustainable energy infrastructure worldwide.
VIBRIS: Drumil Joshi has Redefined AI for Renewable Energy
Published on August 22, 2025
Techlusive spotlighted Drumil Joshi, Monitoring & Diagnostics Analyst at Southern Power Company, for redefining the role of Artificial Intelligence in renewable energy through his groundbreaking system, VIBRIS (Vibration Intelligence Bearing Reliability Integrated System).
Addressing one of the sector’s toughest challenges—predicting wind turbine failures before they occur—Joshi architected an ensemble anomaly detection framework that blends Isolation Forest, Local Outlier Factor, One-Class SVM, and K-Means clustering. This powerful hybrid detects subtle performance deviations that traditional monitoring tools overlook.
“Renewable energy cannot afford reactive downtime. With VIBRIS, we’ve shifted the paradigm to predictive intelligence,” Joshi emphasized. “Every anomaly flagged early means higher reliability, lower costs, and more clean power for the grid.”
By combining domain expertise with advanced AI, Joshi has created a proactive reliability platform that strengthens wind turbine operations, maximizes energy output, and positions Southern Power as a leader in intelligent renewable asset management.
CIO Grid Spotlights Joshi’s Predictive OSI Platform—Securing the Future of BESS
Published on August 06, 2025
CIO Grid recently featured Drumil Joshi, Monitoring & Diagnostics Analyst at Southern Power Company, for pioneering a first-of-its-kind, comprehensive data-driven approach to Battery Energy Storage System (BESS) stability.
Discovering that subtle oscillations were silently eroding performance, Joshi developed the Oscillation Severity Index (OSI)—a real-time metric translating high-frequency disturbances into actionable insights. Visualized via an intuitive Dash-based dashboard, it pinpoints issues with timestamp precision, guiding the operations team to adjust control parameters and avoid potential long-term degradation.
“Traditional systems missed these micro-disturbances. OSI enabled us to act before damage was done,” he explained. “This proactive, data-driven solution is now the cornerstone of how we ensure BESS reliability at Southern Power.”
By transforming how analytics informs decision-making, Joshi has helped Southern Power move from reactive maintenance to predictive asset management—keeping the grid smarter, safer, and more resilient.
Gizbot Highlights Drumil Joshi’s AI Vision for Future-Ready Power Grids
Published on June 10, 2025
Gizbot recently featured Drumil Joshi, Monitoring & Diagnostics Analyst at Southern Power, for unveiling a powerful AI blueprint for grid resilience at PVPMC 2025.
At the conference, Joshi introduced the Oscillation Severity Index (OSI)—a real-time health score that measures and weights the magnitude, duration, and frequency of fluctuations in Battery Energy Storage Systems (BESS). Presented through a sleek Plotly Dash dashboard, OSI delivers live gauges, trend charts, weather overlays, and even an interactive “SPC Helper” chat assistant to provide instant, actionable insights.
“We convert complex, high-frequency data into a single intuitive score,” Joshi explained. “With real-time alerts and contextual intelligence, operators can anticipate issues before they escalate—improving both efficiency and reliability.”
Powered by a cloud-native Python architecture, the system ingests telemetry via InfluxDB, orchestrates pipelines with Airflow, computes with FastAPI, and visualizes through Plotly Dash. Scalable and adaptive, Joshi’s design ensures that whether managing five sites or fifty, the grid remains smarter, safer, and more resilient.
As Gizbot highlighted, Joshi’s blueprint is a landmark step toward AI-driven, future-ready power systems—where predictive intelligence safeguards stability across renewable energy fleets.
OneIndia Highlights Drumil Joshi’s Predictive AI Driving the Future of Renewable Power
Published on June 02, 2025
OneIndia recently featured Drumil Joshi, Monitoring & Diagnostics Analyst at Southern Power, for steering a $450 million renewable fleet with cutting-edge AI and predictive intelligence.
At PVPMC 2025, Joshi presented his Oscillation Stability Index (OSI)—a real-time AI system that detects battery storage instabilities in under one second, preventing site trips and saving over $470,000 in avoided losses. His model, powered by Databricks, Python, and SHAP explainability, transforms raw PI data into actionable insights for operators.
“Persistent oscillations can slash efficiency by 30%,” Joshi noted. “Our platform converts complex signals into business-critical intelligence—no manual babysitting required.”
Overseeing 33 solar plants, 15 wind farms, and 2 battery sites, Joshi has built a dashboard system that delivers headline-first clarity with intuitive stoplight visuals, GPT-powered summaries, and drill-down analytics. His approach has already boosted fleet availability by 9%.
Looking ahead, Joshi is advancing OSI into a full digital twin command center—integrating reinforcement learning, federated models, and GPT-driven outage reporting—shaping the future of resilient, intelligent clean energy systems.
Lead Grow Develop Showcases Drumil Joshi’s Innovative AI Solutions for Renewable Energy
Published on May 03, 2025
Lead Grow Develop recently spotlighted Drumil Joshi, Monitoring & Diagnostics Analyst at Southern Power Company, for pioneering AI-powered solutions in renewable energy that are redefining efficiency, reliability, and sustainability across wind, solar, and battery storage systems.
Joshi’s innovations include a Databricks-based machine learning model that predicts ice formation on wind turbine blades up to 48 hours in advance. By combining SHAP explainability, clustering techniques, and edge ONNX deployment, the system reduced downtime by 15% and achieved zero premature curtailments, giving operators clear, explainable insights they can trust.
“Our system doesn’t just forecast icing—it explains why it happens and adapts turbine-level actions in real time,” Joshi explained. “This helps utilities enhance safety and efficiency without costly manual interventions.”
He also introduced the Operational Stability Index (OSI) for battery storage, a real-time metric integrating FFT-based harmonic detection and thermal signals. This innovation reduced detection times from eight minutes to under one second, prevented multiple site-wide trips, and delivered savings of over $470,000 in avoided losses.
Beyond technical breakthroughs, Joshi has reimagined executive dashboards to deliver “headline-first” clarity, spotlighting metrics such as profit at risk, avoided curtailment, and carbon savings. This design philosophy improved fleet availability by 9% while enabling data-driven decisions in just three clicks.
Joshi’s contributions extend to patented innovations such as a renewable-powered air quality monitoring system and visionary research in federated learning, multimodal digital twins, and LLM-powered diagnostics. Now based in the U.S., he continues to lead global efforts to make renewable assets smarter, more resilient, and self-sustaining.
As Lead Grow Develop highlighted, Joshi’s work is a blueprint for the future of clean energy—where AI turns power systems into adaptive, intelligent, and sustainable ecosystems.
VTV Gujarati Features Drumil Joshi’s Groundbreaking AI Model for Smart Solar Energy Management
Published on April 05, 2025
VTV Gujarati recently spotlighted Drumil Joshi, an AI and energy innovation expert from Surat, for developing the world’s first AI-powered model for solar energy management and storage in smart devices.
Using an advanced Deep Self-Organizing Map (DSOM) algorithm, Joshi’s model achieves an impressive 91.37% accuracy—surpassing GRU and SVM-based models in predicting solar availability. This innovation enables smart IoT devices to optimize energy usage in real time, significantly improving battery life and operational efficiency.
"Our model allows devices to make intelligent energy decisions—without external help," Joshi shared. "It’s built for smart cities, agriculture, and any system relying on sustainable, autonomous power."
The model has been internationally recognized and was presented at the 2024 IEEE ICERCS Conference. Now based in the U.S., Joshi continues to lead smart energy innovations at Southern Power.
As clean tech becomes essential, Joshi’s breakthrough is a major step toward smarter, self-sustaining energy ecosystems.
Drumil Joshi Featured in DNA India: AI Transforms Solar Power for the IoT Era
Featured in DNA India – 19th March 2025
Drumil Joshi, a leading expert in AI and data science for renewable energy, is revolutionizing the way solar power integrates with the Internet of Things (IoT). In his latest feature with DNA India, Joshi showcases how AI-driven innovations are transforming solar energy management, making it more efficient, intelligent, and sustainable.
"AI is redefining the future of clean energy. By leveraging advanced data analytics, we can optimize solar power usage, enhance system reliability, and drive the energy transition forward," said Joshi. "Intelligent algorithms allow us to predict energy patterns, detect faults in real-time, and ensure maximum efficiency for IoT-powered devices."
His groundbreaking work in AI-driven analytics for solar power and IoT is leading to significant advancements in the energy sector:
- Optimized solar energy management for IoT applications
- Real-time fault detection to improve system reliability
- AI-powered forecasting for smarter energy utilization
"The future of IoT and renewable energy is deeply connected with AI. With intelligent decision-making capabilities, we can create more sustainable, efficient, and resilient energy systems," Joshi explained. "This is about making renewable energy smarter and ensuring a reliable, data-driven approach to power generation."
AI Meets Sustainability: Drumil Joshi’s Innovations Spotlighted in Silicon India
Featured in Silicon India – 20 Dec 2024
Drumil Joshi, a leading expert in AI and renewable energy, is redefining the intersection of artificial intelligence and sustainability. In his latest feature with Silicon India, Joshi highlights how AI-driven solutions are revolutionizing clean energy, grid optimization, and predictive analytics for a greener planet.
"AI isn’t just a tool—it’s the key to unlocking a sustainable future," said Joshi. "From predictive maintenance in wind farms to real-time stability assessments for battery storage systems, AI is transforming how we manage and optimize renewable energy."
His innovations, including machine learning-powered ice formation detection for wind turbines and an Operational Stability Index (OSI) for BESS, have led to significant advancements:
- 15% improvement in wind turbine efficiency
- 30% increase in anomaly detection for BESS
- 15+ hours saved weekly in energy asset analytics
"Sustainability and AI are no longer separate conversations—they are two sides of the same coin," Joshi stated. "The challenge now is to scale AI solutions that make energy cleaner, smarter, and more resilient."
Drumil Joshi Featured in Authority Magazine: Shaping the Ethical and Sustainable Future of AI
Interviewed On Oct 24, 2024
Drumil Joshi, a renowned AI and machine learning expert, is at the forefront of defining the future of artificial intelligence. In his recent feature with Authority Magazine, Joshi discussed the transformative power of AI and its potential to reshape industries, including renewable energy and smart infrastructure.
"AI’s future is not just about automation but about augmenting human intelligence and decision-making," stated Joshi. "At Southern Power Company, we are leveraging AI to optimize energy efficiency, enhance grid stability, and drive sustainability in the power sector."
Joshi highlighted the ethical considerations surrounding AI, advocating for responsible and transparent AI governance. He emphasized the importance of integrating AI in critical sectors like renewable energy, where predictive analytics and machine learning models can revolutionize efficiency and reliability.
"The true success of AI will be measured by its ability to empower businesses, protect resources, and create a sustainable digital ecosystem," Joshi added. "The challenge is ensuring AI remains accessible, unbiased, and designed for long-term societal impact."
As AI adoption accelerates, Joshi continues to push the boundaries of innovation, ensuring that the technology remains a force for good.
Drumil Joshi: Pioneering Machine Learning for the Future
Interviewed On Oct 09, 2024
Drumil Joshi, a leading AI and machine learning expert, is redefining the future of artificial intelligence with groundbreaking innovations that bridge technology and real-world applications. Featured in CEO Weekly, Joshi’s work stands at the intersection of machine learning, renewable energy, and ethical AI governance.
"Machine learning isn’t just about algorithms; it’s about impact," Joshi stated. "The goal is to create AI solutions that drive sustainable development while maintaining ethical and transparent practices."
With extensive expertise in predictive analytics, AI-driven diagnostics, and performance optimization, Joshi has played a crucial role in advancing AI’s role in renewable energy and industrial operations. His contributions in developing production-level machine learning models have positioned him as a thought leader in the AI ecosystem.
"The next frontier of AI lies in responsible and scalable deployment," Joshi emphasized. "From smart grids to corporate ethics, AI must be leveraged for both innovation and societal benefit."
As AI continues to evolve, Joshi remains at the forefront, ensuring that the future of machine learning is not just intelligent but also responsible and impactful.
Drumil Joshi Featured in TechBullion: Machine Learning Breakthrough Redefines Renewable Energy Forecasting
Published on August 30 2022
Drumil Joshi, a prominent US-based innovator, along with his dedicated team, has developed a cutting-edge machine learning (ML) forecasting system poised to transform the renewable energy sector. As reported by TechBullion, this advanced system aims to enhance the accuracy of renewable energy predictions, addressing the inherent variability of sources like solar and wind power. :contentReference[oaicite:0]{index=0}
"Our ML model processes extensive datasets, including weather patterns and historical energy outputs, to deliver precise forecasts," stated Joshi. "This innovation is crucial for integrating renewable energy into power grids, ensuring stability and efficiency."
Joshi emphasized the system's potential to revolutionize energy management by providing reliable predictions, thereby facilitating the seamless integration of renewable sources into existing infrastructures.
"Accurate forecasting empowers operators to anticipate and manage fluctuations in energy supply," Joshi added. "This advancement is a significant step toward a sustainable and resilient energy future."
Through the application of advanced ML techniques, Joshi and his team are contributing to the evolution of the renewable energy landscape, promoting a more efficient and dependable power system.
Drumil Joshi: Shaping the Future of Artificial Intelligence
Featured in Nagpur Today – July 2022
Drumil Joshi, a leading expert in AI-driven renewable energy forecasting, is revolutionizing climate solutions with cutting-edge machine learning innovations. In his latest feature with Nagpur Today, Joshi highlights how AI-powered analytics are enhancing energy forecasting, optimizing grid stability, and driving the global transition toward a sustainable future.
"Accurate renewable energy forecasting is essential for a stable and efficient grid. AI enables us to predict energy patterns with unprecedented precision, reducing costs and enhancing energy security," said Joshi. "By integrating real-time data with advanced machine learning models, we can improve grid reliability, minimize energy losses, and create smarter renewable energy solutions."
His groundbreaking work in AI-driven forecasting for wind, solar, and microgrid systems is driving significant industry advancements:
- Enhanced accuracy in renewable energy generation predictions
- Reduced grid instability costs by up to 40%
- Optimized energy distribution, saving utilities up to $5 billion annually
"The fusion of AI and renewable energy is shaping the future of sustainability. Smarter forecasting leads to improved energy efficiency, lower costs, and a stronger, more resilient power grid," Joshi explained. "These innovations are not just theoretical—they are actively transforming how we manage energy worldwide."
Drumil Joshi: Shaping the Future of Artificial Intelligence
Published on July 10, 2022
Drumil Joshi, a pioneer in renewable energy forecasting, has been instrumental in transforming energy systems worldwide. As highlighted by The PrimeTime, Joshi's innovative approaches have significantly enhanced the accuracy and reliability of renewable energy predictions, facilitating the integration of sustainable sources into global power grids.
"Accurate forecasting is the linchpin for effective renewable energy utilization," stated Joshi. "Our work focuses on developing models that predict energy outputs with high precision, thereby ensuring grid stability and promoting the adoption of clean energy solutions."
Joshi's contributions have addressed the challenges posed by the intermittent nature of renewable energy sources, such as solar and wind power. By implementing advanced forecasting techniques, he has enabled energy providers to better anticipate supply fluctuations, optimize resource allocation, and maintain consistent energy delivery.
"Our goal is to create a resilient energy infrastructure that leverages renewable sources effectively," Joshi added. "Through continuous innovation in forecasting methodologies, we aim to support the global transition to sustainable energy."
Joshi's work continues to influence the renewable energy sector, driving advancements that contribute to a more sustainable and efficient global energy landscape.
How AI is Revolutionizing Renewable Energy Forecasting – Insights from Drumil Joshi
Published on June 03 2022
Drumil Joshi, a distinguished AI and machine learning expert, is pioneering advancements in renewable energy forecasting through cutting-edge machine learning models. In a recent feature with Financial Express, Joshi explored how AI-driven analytics can enhance the accuracy and efficiency of renewable energy predictions, a crucial factor in optimizing power grid operations.
"Machine learning is revolutionizing how we anticipate energy generation from renewable sources," stated Joshi. "By leveraging AI to process vast datasets, including weather patterns and historical energy trends, we can provide power grids with more reliable forecasts, reducing uncertainty and enhancing stability."
With the growing demand for sustainable energy solutions, Joshi emphasized the importance of integrating AI-driven predictive models into the renewable energy sector. These models enable operators to mitigate fluctuations in energy supply, ensuring seamless integration of solar and wind energy into the grid.
"The future of renewable energy depends on data-driven insights," Joshi added. "AI and machine learning are key to unlocking the full potential of green energy, enabling better resource allocation and smarter decision-making."
As the global energy landscape evolves, Joshi remains at the forefront of AI-driven sustainability efforts, ensuring that advanced technology continues to shape a more efficient and resilient power infrastructure.
Hindustan Metro Spotlights Drumil Joshi’s Groundbreaking Work in Smart Renewable Energy Forecasting
Published on June 02, 2022
Drumil Joshi, an acclaimed AI and renewable energy forecasting expert, is gaining national attention for revolutionizing the way power grids anticipate clean energy output. In a recent feature with Hindustan Metro, Joshi introduced a highly accurate machine learning model that achieves 1–2% SMAPE error in predicting renewable energy generation—setting a new standard in the sector.
"Forecasting renewable energy with precision is no longer a luxury—it’s a necessity," said Joshi. "Our model uses real-time grid data and advanced algorithms to provide smart, adaptive predictions that utilities can trust."
At the heart of his innovation is the integration of ENTSO-E data (Europe’s transmission system operator), combined with a powerful ensemble of models like XGBoost, Random Forest, and SVM. This multilayered approach enables energy providers to make faster, data-driven decisions in a highly variable grid environment.
"What makes this unique is its ability to learn and adjust with each incoming data point," Joshi explained. "We’ve also built a user-friendly web app using Streamlit so anyone—from policymakers to engineers—can access these forecasts instantly."
With climate goals accelerating worldwide, Joshi’s work is being hailed as a major step toward integrating AI into the energy transition. His model supports the seamless inclusion of solar and wind energy into the grid, helping minimize disruptions and improve energy planning.
"Technology must meet sustainability. With AI at the core, we’re not just forecasting energy—we’re empowering the future of clean power," Joshi concluded.
As highlighted by Hindustan Metro, Joshi continues to drive innovation at the intersection of AI, sustainability, and smart energy systems, reshaping the renewable landscape one algorithm at a time.