
Intelligente Stromnetze integrieren fortschrittliche Messinfrastruktur und dezentrale Energiequellen, um die Flexibilität und Zuverlässigkeit des Netzes zu erhöhen. Lastmanagement und Echtzeit-Lastprognosen optimieren den Energieverbrauch. Die Steuerung von Mikronetzen und die Integration von Fahrzeugen ins Netz ermöglichen einen lokalen Energieausgleich und die Nutzung von Speichern. Netzautomatisierung und fortschrittliche Verteilungsmanagementsysteme verbessern die Fehlererkennung, -isolierung und -behebung. Herausforderungen bei der Integration erneuerbarer Energien werden durch intelligente Wechselrichter und Spannungsregelungstechniken bewältigt.
Dies ist unsere neueste Auswahl an weltweiten Veröffentlichungen und Patenten in englischer Sprache zum Thema Smart Grids und Energiemanagement, aus vielen wissenschaftlichen Online-Zeitschriften, klassifiziert und fokussiert auf Smart Grids und Energiemanagement, fortschrittliche Messinfrastruktur, Energiemanagement, Netzautomatisierung, Microgrid-Steuerung, Energielastausgleich, Echtzeit-Lastprognose, Netzzustandsschätzung, Energieverteilung, Demand-Response-Management, Integration von Energiespeichern, Überwachung der Stromqualität, Netzbelastbarkeit, Netzstabilitätsanalyse, Lastabwurfstrategien, intelligente Netzkommunikation, Cybersicherheit in intelligenten Netzen, Netztopologie, Netzüberlastung, Netzfrequenzregelung, Management verteilter Erzeugung, Netztoleranz, Netzspannungsregelung und intelligentes Netz.
Energy management system and energy management method
Patent published on the 2026-05-21 in WO under Ref WO2026105372 by HITACHI LTD [JP] (Watanabe Keiji [jp], Ito Tomomichi [jp], Kumagai Masatoshi [jp], Tsunedomi Kunihiko [jp])
Abstract: The present invention comprises: a communication unit that communicates with a host system that creates a regional energy plan; a target setting unit that sets a target value for creating balancing power for a target consumer site; a prediction unit that predicts future electric power demand; a boundary-condition-setting unit that sets a boundary condition for demand control from load facility specifications; an operation plan creation unit that creates a demand control plan for the load facilit[...]
Our summary: The invention includes a communication unit for interacting with a host system that develops a regional energy plan. It features a target setting unit for establishing balancing power targets and a prediction unit for forecasting electric power demand. Additionally, it incorporates a boundary-condition-setting unit and an operation plan creation unit to formulate a demand control plan based on various inputs.
energy management, communication unit, demand control, prediction unit
Patent
Energy management system for supplying electrical energy to a lighting system by using an electric vehicle and a method thereof
Patent published on the 2026-05-20 in EP under Ref EP4744945 by TRIDONIC GMBH & CO KG [AT] (SchmÖlzer Andreas [at], Carracedo Cordovilla Luis Javier [at], Rohner Hugo [at])
Abstract: The invention is related to energy management system for supply of electrical energy to a lighting system, comprising a terminal for electrically connecting a mains network, a terminal for electrically connecting at least one electric vehicle and a terminal for electrically connecting the lighting system. Moreover, the energy management system comprises a control module that is configured to control an electrical energy distribution between the terminals, based on first information that indicate[...]
Our summary: The invention describes an energy management system that supplies electrical energy from electric vehicles to a lighting system. It includes terminals for connecting to the mains network, electric vehicles, and the lighting system. A control module manages the distribution of energy based on the available energy from the vehicles and the energy demand of the lighting system.
Energy management, electric vehicle, lighting system, energy distribution
Patent
System and method for managing electrical devices as part of electric network
Patent published on the 2026-05-13 in EP under Ref EP4742480 by RIOT INNOVATIONS OY [FI] (Karvinen Miska [fi])
Abstract: A system and a method for energy management are provided. The method comprises detecting device types based on sensor data received from the devices, the sensor data comprising information about power usage of said devices. Suitability of the detected devices for various energy management operations is determined based on the detected device types, one or more criteria and received energy management signals from external devices. Thereafter, energy consumption of the devices is controlled by a c[...]
Our summary: The system detects device types using sensor data about power usage. It assesses suitability for energy management operations based on criteria and signals. Energy consumption is controlled accordingly by a control device.
energy management, device detection, power usage, control system
Patent
Power and thermal management for multiple processing cores
Patent published on the 2026-05-07 in US under Ref US20260126848 by GOOGLE LLC [US] (Cai Guibing [us], Wang Wei [us], Chandula Sayanna [us])
Abstract: A method and apparatus for power and thermal management for multiple processing cores are disclosed. Existing dynamic voltage and frequency scaling (DVFS) approaches typically perform localized management for individual cores, such as a central processing unit (CPU) or a graphics processing unit (GPU), resulting in suboptimal overall power consumption and thermal throttling. The disclosed energy manager addresses this by performing energy management across at least two computing cores executing [...]
Our summary: The method optimizes power and thermal management across multiple processing cores. It utilizes historical performance data to predict execution time and power consumption. The system selects optimal voltage and frequency combinations while adhering to thermal constraints.
power management, thermal management, dynamic voltage scaling, multi-core processing
Patent
Method for smoothing the change from an electric traction mode to a hybrid traction mode in a hybrid vehicle
Patent published on the 2026-05-06 in EP under Ref EP4737167 by HORSE POWERTRAIN SOLUTIONS S L U [ES] (Kempski Paul [fr], Jousset Corentin [fr])
Abstract: [0001] Method for smoothing the change from an electric traction mode to a hybrid traction mode in a hybrid vehicle, comprising the steps of: receiving traction mode information (S1) evaluating (S2) the convenience of changing to a first hybrid traction mode (H) by measuring current values of predefined operating parameters; evaluating (S3) the convenience of shifting -within a predefined lapse of time- to a second hybrid powertrain (H) corresponding to a higher speed range, and if so, calculati[...]
Our summary: The method smooths the transition from electric to hybrid traction modes in a hybrid vehicle. It evaluates the convenience of changing modes based on operating parameters and calculates the time for shifting to a higher speed range. The energy management law is modified to facilitate the direct change between powertrains.
hybrid vehicle, traction mode, energy management, powertrain transition
Patent
Simulation engines for home energy management systems
Patent published on the 2026-04-23 in US under Ref US20260112896 by ENPHASE ENERGY INC [US] (Gopal Garvit [in], Agrawal Rahul Kumar [in], Pabbathi Sandeep [in], Saini Rohit [in], Ajay Alladi [in], Marchat Florian [fr], Petitjean Samuel Marc FrÉdÉric [fr], Gugaliya Jinendra Kacharulal [in], Nelakuditi Narasimha Swamy [in])
Abstract: A simulation engine configured for use with an energy management system is provided and comprises a simulation input generator configured to receive data related to a distributed energy resource (DER) of the energy management system and generate a simulation input, an optimization engine configured to receive the simulation input and generate raw optimization schedule based on the simulation input, a translation layer configured to receive the raw optimization schedule and generate a modified op[...]
Our summary: A simulation engine for energy management systems generates inputs from distributed energy resources. It includes an optimization engine that creates a raw schedule, which is then modified for compatibility with DER controllers. The system simulator mimics the DER controller s behavior and displays the simulation output to users.
Simulation engine, energy management, distributed energy resource, optimization schedule
Patent
Decision support of substation intelligent Butler integrating knowledge graph
Published on 2026-02-27 by @OXFORD
Abstract: AbstractWith the advancement of smart grid construction, substation equipment management faces challenges such as multisource heterogeneous data and complex fault correlation analysis. This paper proposes a decision-support method for substation intelligent butlers that integrates knowledge graphs and graph convolutional neural networks (GCN). By constructing a whole-station knowledge graph covering key equipment such as transformers and circuit breakers, it realizes structured representation an[...]
Our summary: This paper presents a decision-support method for substation management using knowledge graphs and GCN. It constructs a comprehensive knowledge graph for key equipment, enabling structured representation and fault correlation analysis. The method achieves 92.8% accuracy in transformer fault diagnosis, surpassing traditional models in performance and interpretability.
knowledge graph, graph convolutional networks, fault diagnosis, smart grid
Publication
An Abnormal Condition Diagnosis Method for Low-Voltage Distribution Nodes via Multi-Source Domain Deep Transfer Learning and Cloud-Edge Collaboration
Published on 2026-02-03 by Dongli Jia, Tianyuan Kang, Xueshun Ye, Jun Zhou, Zhenyu Zhang @MDPI
Abstract: The transition toward sustainable and resilient new-type power systems requires robust diagnostic frameworks for terminal power supply units to ensure continuous grid stability. To ensure the resilience of modern power systems, this paper proposes a multi-source domain deep Transfer Learning method for the abnormal condition diagnosis of low-voltage distribution nodes within a cloud-edge collaborative framework. This approach integrates feature selection based on the Categorical Boosting (CatBoo[...]
Our summary: This paper presents a method for diagnosing abnormal conditions in low-voltage distribution nodes using multi-source domain deep transfer learning. It combines feature selection with a hybrid architecture of CNN and ResNet, employing a multi-loss adaptation strategy to enhance diagnostic accuracy. The approach demonstrates significant improvements in resource efficiency and achieves high diagnostic accuracies for low-voltage anomalies and three-phase imbalance conditions.
Deep Transfer Learning, Cloud-Edge Collaboration, Convolutional Neural Network, Residual Network
Publication