energy management

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Benchmarks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 49 papers with code (515 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
  14 Dec 2024 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  First, we design a Temporal Clustering Module (TCM) that clusters time series into fine-grained distributions to handle heterogeneous temporal patterns.
• A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control
  20 May 2024 2 repositories listed
  By leveraging advanced optimization techniques, MPC algorithms can anticipate future grid conditions and dynamically adjust EV charging and discharging schedules to balance supply and demand while minimizing operational…
• Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach
  23 Jun 2023 2 repositories listed
  It takes only a total of 40 minutes for 5 epochs (about 7.
• Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
  14 Nov 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  An emerging class of weather models based on neural networks represents a paradigm shift in weather forecasting: the models learn the required transformations from data instead of relying on hand-coded physics and are…
• A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
  17 Jun 2021 2 repositories listed
  This paper presents to the power systems forecasting practitioners a recent deep learning technique, the normalizing flows, to produce accurate scenario-based probabilistic forecasts that are crucial to face the new…
• A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market: extended version
  28 May 2021 2 repositories listed
  This paper addresses the energy management of a grid-connected renewable generation plant coupled with a battery energy storage device in the capacity firming market, designed to promote renewable power generation…
• An optimal home energy management system for modulating heat pumps and photovoltaic systems
  4 Sep 2020 2 repositories listed
  In this study, we analyze the structural properties associated with the optimal control of a home energy management system and the effects of common technological configurations and objectives.
• Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks
  17 Jun 2025 1 repository listed
  Accurate electrical consumption forecasting is crucial for efficient energy management and resource allocation.
• Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
  31 Mar 2025 1 repository listed
  Time series forecasting is an important application in various domains such as energy management, traffic planning, financial markets, meteorology, and medicine.
• SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand Forecasting
  28 Mar 2025 1 repository listed
  However, real-world residential electricity demand data often exhibit intricate temporal variability, including multiple seasonalities, periodicities, and abrupt fluctuations, which pose significant challenges for…
• A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning
  14 Mar 2025 1 repository listed
  The dataset includes energy consumption data from various facility areas and components, energy production data from a photovoltaic system and a combined heat and power plant, operational data from heating and cooling…
• Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPO
  30 Dec 2024 1 repository listed
  This work addresses the challenge of optimal energy management in microgrids through a collaborative and privacy-preserving framework.
• Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
  3 Dec 2024 1 repository listed
  Accurate photovoltaic (PV) power forecasting is critical for integrating renewable energy sources into the grid, optimizing real-time energy management, and ensuring energy reliability amidst increasing demand.
• Just In Time Transformers
  22 Oct 2024 1 repository listed
  Precise energy load forecasting in residential households is crucial for mitigating carbon emissions and enhancing energy efficiency; indeed, accurate forecasting enables utility companies and policymakers, who advocate…
• Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach
  3 Oct 2024 1 repository listed
  Specifically, the proposed framework EnergyUCB (1) balances the performance-energy trade-off in the reward function, (2) effectively navigates the exploration & exploitation dilemma when adjusting GPU core frequencies…
• Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
  14 Aug 2024 1 repository listed
  The results show that the simple rules, TreeC, and model predictive control-based methods achieved similar costs, with a difference of only 0.
• Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems
  29 Jun 2024 1 repository listed
  This study investigates the integration of forecasting and optimization in energy management systems, with a focus on the role of switching costs -- penalties incurred from frequent operational adjustments.
• MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception
  15 Jun 2024 1 repository listed
  In this paper, we scale up indoor radar data collection using multi-view high-resolution radar heatmap in a multi-day, multi-room, and multi-subject setting, with an emphasis on the diversity of environment and subjects.
• CommonPower: A Framework for Safe Data-Driven Smart Grid Control
  5 Jun 2024 1 repository listed
  The growing complexity of power system management has led to an increased interest in reinforcement learning (RL).
• A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learning
  24 Apr 2024 1 repository listed
  This paper presents an innovative strategy that utilizes reinforcement learning to enhance the fast balance charging of lithium-ion battery packs.
• TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents
  18 Apr 2024 1 repository listed
  While this new paradigm presents remarkable effectiveness across various real-world domains, like healthcare and energy management, there is a growing demand to enable agents to rapidly and completely eliminate the…
• Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
  3 Mar 2024 1 repository listed
  Under this framework, each GS is responsible for training a personalized model split for their respective neighbourhoods, whereas the SP can train a single global or personalized model for each GS.
• A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
  1 Mar 2024 1 repository listed
  The global energy landscape is undergoing a transformation towards decarbonization, sustainability, and cost-efficiency.
• Solar Radiation Prediction in the UTEQ based on Machine Learning Models
  29 Dec 2023 1 repository listed
  With the aim of assess the performance of our ML models, we developed a web-based tool for the Solar Radiation Forecasting in the UTEQ available at http://https://solarradiationforecastinguteq.
• Decentralized Energy Marketplace via NFTs and AI-based Agents
  17 Nov 2023 1 repository listed
  The paper introduces an advanced Decentralized Energy Marketplace (DEM) integrating blockchain technology and artificial intelligence to manage energy exchanges among smart homes with energy storage systems.
• MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data
  27 Jul 2023 1 repository listed
  Non-intrusive load monitoring (NILM) identifies the status and power consumption of various household appliances by disaggregating the total power usage signal of an entire house.
• Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
  18 Jul 2023 1 repository listed
  We also show a 12 percentage point performance advantage of the proposed DL based model over a random forest model and observe performance degradation with the increase of the number of devices in the household, namely…
• Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network
  4 Jul 2023 1 repository listed
  Smart home energy management systems help the distribution grid operate more efficiently and reliably, and enable effective penetration of distributed renewable energy sources.
• DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model
  31 May 2023 1 repository listed
  The uncertainties in load forecasting can be divided into two types: epistemic uncertainty and aleatoric uncertainty.
• Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm
  9 May 2023 1 repository listed
  To overcome this, in this paper, a DRL algorithm (namely MIP-DQN) is proposed, capable of \textit{strictly} enforcing all operational constraints in the action space, ensuring the feasibility of the defined schedule in…

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.