Vor Ort
Merkzettel Warenkorb
Produktbild: Energy Informatics
Band 16982 Vorbesteller

Energy Informatics 6th Energy Informatics Academy Conference, EI.A 2026, Beijing, China, October 14, 2026, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science

81,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.11.2026

Abbildungen

X, 441 p. 112 illus.

Herausgeber

Hongbo Duan + weitere

Verlag

Springer

Seitenzahl

441

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-41866-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.11.2026

Abbildungen

X, 441 p. 112 illus.

Herausgeber

Verlag

Springer

Seitenzahl

441

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-41866-1

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Energy Informatics

  • .- Probabilistic Forecasting and Decision-Making under Uncertainty.

    .- Uncertainty Aware Hybrid Inflow Forecasting with Probabilistic Dynamic HBV Parameters.

    .- Calibrated Two-Stage Probabilistic Forecasting for the Nordic mFRR Energy Activation Market.

    .- Dynamic Tariff Design for Demand-Side Flexibility: A Regime-Switching Approach to Consumption Forecasting in Distribution Grids.

    .- Energy storage selection with Racing.

    .- Technical Indicators for Load Pattern Recognition: An Automated Feature Engineering Framework.

    .- Data- and AI-Driven Energy–Climate–Economy Modeling for Mitigation–Adaptation Transitions.

    .- Approximately 70% of the footprint of utility-scale photovoltaics in China is aligned with biodiversity conservation.

    .- When EVs Charge Matters - Steering Charging into India’s Midday Solar Surplus.

    .- Towards Responsible and Sustainable Growth of AI Using a Decoupling Approach.

    .- Industrial Systems Under Climate and Energy Uncertainty: Adaptation Readiness, Energy Resilience, and Digital Intelligence.

    .- Hybrid Modelling of an Industrial Malt Drying Kiln.

    .- A Proof-of-Concept Framework for Energy Pathway Assessment of Diverse Pyrolysis Feedstocks.

    .- STREAM: An Objective-Driven and Uncertainty-Aware Framework for Industrial Energy Data Acquisition.

    .- Energy-Oriented Resource Dispatching under Industrial Data Constraints: A Simulation-Based Evaluation in Foundry Production.

    .- Data-Driven Fault Detection and Energy Optimization in Supermarket Refrigeration: A Multi-Site Pilot Study.

    .- TIMES Compatible Physics-Based Surrogate Industrial Modelling for the Refinery and Petrochemical Sector.

    .- Climate-Informed Process Safety (CIPS): A Framework for Integrating Climate Intelligence into Industrial Risk Management.

    .- Grid Resilience, Energy Storage and Electric Mobility.

    .- Action-Masked Proximal Policy Optimization for Critical-Load Restoration in Distribution Grids with Grid-Forming Storage.

    .- PLEXOS Based Contingency Analysis of the Jeju Island Power System.

    .- Operating-Condition Boundaries for the Selection of New and Second-Life Batteries in Stationary Energy Storage.

    .- The more Effective Energy Shift Algorithm (mEfES).

    .- Reinforcement Learning vs. MILP: Benchmarking a User-centered optimization agent for emissions-aware V2G Energy Arbitrage.

    .- From Living Labs to Virtual Testbeds: Experimentation and Validation in Energy Informatics.

    .- Traceable Data-Quality Assurance for Building IoT Digital Threads.

    .- CityGML-Based Scene Graphs for Spatially Grounded Sensor-Aware Building Digital Twins.

    .- Congestion control for actively steered power flows in the Energy Packet Grid.

    .- Cloud-Native Orchestration of Agent-Based Simulations for Energy Systems Research.

    .- From Models to Meaning in Practice - Demonstrating Reflexive Modelling Through a Nordic Volt-Var Optimization Study.

    .- Developing a Validation Framework for Virtual Home Energy Labelling: Insights from Stakeholder Interviews and a Literature Review.