:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Shi, Shaohong, Heres, Jacco, Tindemans, Simon H.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	https://arxiv.org/abs/2505.19744
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Extreme value distributions of peak loads for non-residential customer segments
di: Shi, Shaohong, et al.
Pubblicazione: (2025)

Scalable Iterative Algorithm for Solving Optimal Transmission Switching with De-energization
di: Jeanson, Benoît, et al.
Pubblicazione: (2025)

Risk-based approach to the Optimal Transmission Switching problem
di: Jeanson, Benoît, et al.
Pubblicazione: (2025)

Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks
di: Silani, Amirreza, et al.
Pubblicazione: (2024)

Efficient Quantification and Representation of Aggregate Flexibility in Electric Vehicles
di: Panda, Nanda Kishor, et al.
Pubblicazione: (2023)

Representative Days and Hours with Piecewise Linear Transitions for Power System Planning
di: Moradi-Sepahvand, Mojtaba, et al.
Pubblicazione: (2023)

Quantifying the Aggregate Flexibility of Electric Vehicles Charging Stations for Dependable Congestion Management Products -- A Dutch Case Study
di: Panda, Nanda Kishor, et al.
Pubblicazione: (2024)

SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models
di: Lin, Nan, et al.
Pubblicazione: (2026)

One Model to Forecast Them All and in Entity Distributions Bind Them
di: Bölat, Kutay, et al.
Pubblicazione: (2025)

Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services
di: Panda, Nanda Kishor, et al.
Pubblicazione: (2025)

Linear Aggregate Model for Realizable Dispatch of Homogeneous Energy Storage
di: Elsaadany, Mazen, et al.
Pubblicazione: (2025)

Aggregate Peak EV Charging Demand: The Impact of Segmented Network Tariffs
di: Panda, Nanda Kishor, et al.
Pubblicazione: (2024)

Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective
di: Bölat, Kutay, et al.
Pubblicazione: (2023)

Aggregated demand flexibility prediction of residential thermostatically controlled loads and participation in electricity balance markets
di: Martín-Crespo, Alejandro, et al.
Pubblicazione: (2023)

Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals
di: Köhler, Johannes, et al.
Pubblicazione: (2025)

Uncertainty quantification in load profiles with rising EV and PV adoption: the case of residential, industrial, and office buildings
di: Fias, Aiko, et al.
Pubblicazione: (2025)

Protecting residential electrical panels and service through model predictive control: A field study
di: Pergantis, Elias N., et al.
Pubblicazione: (2024)

Lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A review
di: Khabbazi, Arash J., et al.
Pubblicazione: (2025)

Uncertainty Quantification on State-Based Conflict Detection and Resolution Algorithms
di: Rahman, Muhammad Fazlur, et al.
Pubblicazione: (2025)

Laboratory and field testing of a residential heat pump retrofit for a DC solar nanogrid
di: Farha, Aaron H. P., et al.
Pubblicazione: (2025)

Design and implementation of multiprotocol framework for residential prosumer incorporation in flexibility markets
di: Gayo, Miguel, et al.
Pubblicazione: (2024)

Trajectory control of a suspended load with non-stopping flying carriers
di: Girardello, Sofia, et al.
Pubblicazione: (2025)

Feedback Enhancement of Time Series Aggregation for Power System Expansion Planning
di: Zhang, Ruiqi, et al.
Pubblicazione: (2025)

Toward a foundational thermal model for residential buildings
di: Dai, Ting-Yu, et al.
Pubblicazione: (2026)

Designing model predictive control strategies for grid-interactive water heaters for load shifting applications
di: Buechler, Elizabeth, et al.
Pubblicazione: (2024)

Quantifying resilience for distribution system customers with SALEDI
di: Ahmad, Arslan, et al.
Pubblicazione: (2026)

A model predictive control framework with customer-priority tiers for virtual power plant resilience during extreme weather: A UK heatwave case study
di: Moroshko, Edward, et al.
Pubblicazione: (2025)

Technology configurations for decarbonizing residential heat supply through district heating and implications for the electricity network
di: Dinga, Christian Doh, et al.
Pubblicazione: (2026)

Analyzing electric vehicle, load and photovoltaic generation uncertainty using publicly available datasets
di: Hashmi, Md Umar, et al.
Pubblicazione: (2024)

Fast networked data selection via distributed smoothed quantile estimation
di: Zhang, Xu, et al.
Pubblicazione: (2024)

Scalable iterative Gramian synthesis for control-affine systems
di: Yu, Zongxi, et al.
Pubblicazione: (2026)

Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach
di: Wen, Honglin
Pubblicazione: (2023)

Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles
di: Dengiz, Thomas, et al.
Pubblicazione: (2024)

Compensation for reactive power and harmonic current drawn by a non-linear load in a pv-micro hydro grid
di: Nepal, Raj Krishna, et al.
Pubblicazione: (2024)

A novel load distribution strategy for aggregators using IoT-enabled mobile devices
di: Shivaraman, Nitin, et al.
Pubblicazione: (2024)

Effects of dynamic power electronic load models on power systems analysis using ZIP-E loads
di: Colon-Reyes, Gabriel E., et al.
Pubblicazione: (2024)

A Paragraph is All It Takes: Rich Robot Behaviors from Interacting, Trusted LLMs
di: OpenMind, et al.
Pubblicazione: (2024)

Analysing the interaction of expansion decisions by end customers and grid development in the context of a municipal energy system
di: Röhrig, Paul Maximilian, et al.
Pubblicazione: (2024)

Optimal chiller loading including transients
di: Arahal, Manuel R., et al.
Pubblicazione: (2025)

Approximate non-linear model predictive control with safety-augmented neural networks
di: Hose, Henrik, et al.
Pubblicazione: (2023)