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Advanced Research Institute
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Quicklinks
4Help (Computing Assistance)
Calendars, Academic
Blacksburg Transit
Campus Map
Canvas
Corps of Cadets
Giving to Virginia Tech
Hokie SPA
University Status
VT Google Apps Email
Exchange Email (Office 365)
Customize Quicklinks
Advanced Research Institute
ARI
People
Projects
Workshops
US-China Workshop: Identification of Challenges and Opportunities for Large Scale Deployment of the Smart Grid
US-China Workshop: Smart Grid Research Opportunity Identification
US-China Research Collaboration Meeting at IEEE PES GM 2014
International Workshop on Wind Energy Development
Training
Presentations
Publications
ARI News
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Robust Short-term Electrical Load Forecasting Framework for Commercial Buildings using Deep Recurrent Neural Networks
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An IoT-based Thermal Model Learning Framework for Smart Buildings
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MATPLAN: A Probability-based Planning Tool for Cost-effective Grid Integration of Renewable Energy
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Mitigating the Impact of Renewable Variability with Demand-Side Resources Considering Communication and Cyber Security Limitations
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An algorithm for optimal management of aggregated HVAC power demand using smart thermostats
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Demand management to mitigate impacts of plug-in electric vehicle fast charge in buildings with renewables
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A Comparative Performance Analysis of ANN Algorithms for MPPT Energy Harvesting in Solar PV System
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Modeling and Performance Evaluation of Grid-Interactive Efficient Buildings (GEB) in a Microgrid Environment
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Reducing Curtailed Wind Energy through Energy Storage and Demand Response
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Global Solar Radiation Prediction: Application of a Novel Hybrid Data-driven Model
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Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles
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Metaheuristic Optimization Algorithms to Estimate Statistical Distribution Parameters for Characterizing Wind Speeds
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An energy management model to study energy and peak power savings from PV and storage in demand responsive buildings
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Sizing Energy Storage to Mitigate Wind Power Forecast Error Impacts by Signal Processing Techniques
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Integrated automation for optimal demand management in commercial buildings considering occupant comfort
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An Assessment of Multi-Stage Reward Function Design for Deep Reinforcement Learning-Based Microgrid Energy Management
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Control of the Distributed Hybrid Energy Storage System Considering the Equivalent State of Charge (SOC)
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Acquisition of FDS for Oil-immersed Insulation at Transformer Hotspot Region Based on Multi-constraint NSGA Model
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Coordinated Control of Building Loads, PVs and Ice Storage to Absorb PEV Penetrations
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Dynamic and Stability Analysis of the Power System with the Control Loop of Inverter Air Conditioners
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Robust Short-term Electrical Load Forecasting Framework for Commercial Buildings using Deep Learning
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Optimal Strategy for Participation of Commercial HVAC Systems in Frequency Regulation
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Day-ahead building-level load forecasts using deep learning vs. traditional T time-series techniques
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Performance Evaluation of Communication Technologies and Network Structure for Smart Grid Applications
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Heuristic Algorithms for Aggregated HVAC Control via Smart Thermostats for Regulation Services
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Communication network requirements for major smart grid applications in HAN, NAN and WAN
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Power disaggregation of combined HVAC loads using supervised machine learning algorithms, Energy and Buildings
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Modeling and Control of Flexible Loads for Frequency Regulation Services Considering Compensation of Communication Latency and Detection Error
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Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects
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Acquisition of FDS for Oil-immersed Insulation at Transformer Hotspot Region Based on Multi-constraint NSGA Model
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A Bi-Level Optimization Method for Voltage Control in Distribution Networks Using Batteries and Smart Inverters with High Wind and Photovoltaic Penetrations
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Optimal Scheduling of Integrated Energy Systems with Multiple CCHPs for High Efficiency and Low Emissions
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Optimizing Dynamic Electric Ferry Loads with Intelligent Power Management
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Short-Term Photovoltaic Power Production Forecasting Based on Novel Hybrid Data-Driven Models
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Proceedings of CONECCT 2023 - 9th International Conference on Electronics, Computing and Communication Technologies
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Celebrate the 10th Anniversary of IEEE Electrification Magazine and Embrace a New Era
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