--- title: WISER and E.ON Advance Energy Demand Forecasting with... description: WISER and E.ON have completed a research collaboration applying hybrid quantum-classical machine learning to electricity demand forecasting. The project... canonical: https://daily.dev/posts/wiser-and-e-on-advance-energy-demand-forecasting-with-quantum-machine-learning-tfuy9aoob twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: WISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning | daily.dev og:description: WISER and E.ON have completed a research collaboration applying hybrid quantum-classical machine learning to electricity demand forecasting. The project... og:url: https://daily.dev/posts/wiser-and-e-on-advance-energy-demand-forecasting-with-quantum-machine-learning-tfuy9aoob og:image: https://api.daily.dev/og/posts/TFuy9aoob.png og:image:alt: WISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # WISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning **[The Quantum Insider](https://daily.dev/sources/thequantuminsider)** · 4 min read · 0 upvotes · 0 comments ## Summary WISER and E.ON have completed a research collaboration applying hybrid quantum-classical machine learning to electricity demand forecasting. The project evaluated two models — Kernelized Quantum Reservoir Computing with Repeated Measurement (KQRC-RM) and a Projected Quantum Kernel Gaussian Process (QGP) — on an anonymized dataset of 103 residential customers. Tests ran on both simulators and real IBM Quantum hardware with over 100 qubits. The QGP model reduced average MAE by 62% on simulator and 40% on hardware compared to a classical Gaussian Process baseline. Results suggest hybrid quantum models can outperform specific classical baselines for structured multi-output time-series forecasting under NISQ constraints, with implications for load balancing and renewable energy integration. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [FirstQFM Reports Quantum Forecasting Results Using NVIDIA CUDA-Q FirstQFM Reports Quantum Forecasting Results Using NVIDIA CUDA-Q](https://daily.dev/posts/firstqfm-reports-quantum-forecasting-results-using-nvidia-cuda-q-firstqfm-reports-quantum-forecastin-z5nwd7xol) · The Quantum Insider · 0 upvotes · 0 comments - [IonQ, QuantumBasel Study Suggests Hybrid AI Workloads Could Gain Energy Advantages From Quantum Hardware as Systems Scale](https://daily.dev/posts/ionq-quantumbasel-study-suggests-hybrid-ai-workloads-could-gain-energy-advantages-from-quantum-hard-edschxsgp) · The Quantum Insider · 1 upvotes · 0 comments - [Telstra And SQC Explore Smarter Network Prediction](https://daily.dev/posts/telstra-and-sqc-explore-smarter-network-prediction-fiwkvw6jq) · The Quantum Insider · 0 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#time-series-forecasting](https://daily.dev/tags/time-series-forecasting) [View this post on daily.dev](https://daily.dev/posts/wiser-and-e-on-advance-energy-demand-forecasting-with-quantum-machine-learning-tfuy9aoob) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"WISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning","url":"https://daily.dev/posts/wiser-and-e-on-advance-energy-demand-forecasting-with-quantum-machine-learning-tfuy9aoob","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/wiser-and-e-on-advance-energy-demand-forecasting-with-quantum-machine-learning-tfuy9aoob"},"datePublished":"2026-07-24T11:52:43.728Z","dateModified":"2026-07-24T12:54:28.998Z","description":"WISER and E.ON have completed a research collaboration applying hybrid quantum-classical machine learning to electricity demand forecasting. 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