Fei Wang

Orcid: 0000-0002-7332-9726

Affiliations:
  • North China Electric Power University, Beijing, China
  • North China Electric Power University, Baoding, China (PhD 2013)


According to our database1, Fei Wang authored at least 54 papers between 2015 and 2023.

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Bibliography

2023
Precision and Accuracy Co-Optimization-Based Demand Response Baseline Load Estimation Using Bidirectional Data.
IEEE Trans. Smart Grid, 2023

2022
Reliability-Based Optimal Bidding Strategy of a Technical Virtual Power Plant.
IEEE Syst. J., 2022

Sand and Dust Storms Monitoring Using FY-4A Satellite Data based on Convolutional LSTM Networks.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

Ultra-short-term Power Forecasting of Wind Farm Cluster Based on Spatio-temporal Graph Neural Network Pattern Prediction.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

NWP Feature Selection and GCN-based Ultra-short-term Wind Farm Cluster Power Forecasting Method.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

A Two-stage Forecasting Approach for Day-ahead Electricity Price Based on Improved Wavelet Neural Network with ELM Initialization.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

2021
Two-Stage Decoupled Estimation Approach of Aggregated Baseline Load Under High Penetration of Behind-the-Meter PV System.
IEEE Trans. Smart Grid, 2021

Grid-Constrained Data Cleansing Method for Enhanced Busload Forecasting.
IEEE Trans. Instrum. Meas., 2021

Modeling and Optimizing Recovery Strategies for Power Distribution System Resilience.
IEEE Syst. J., 2021

Voltage Security Constrained Optimal Power Flow considering Smart Transmission Switching Maneuvers.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

A New Evaluation Metric Reflecting the Lead-Lag Scenarios in Wind Power Forecasting.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Greedy Clustering-based Monthly Electricity Consumption Forecasting Model.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Dual Extended Kalman Filter Reconstruction of Actuator and Sensor Faults in DC Microgrids with Constant Power Loads.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Optimal Model for Direct Power Purchase by Large Consumers Based on Blockchain.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

An Accurate Evaluation of Consumption Pattern in Reconfiguration of Electrical Energy Distribution Systems.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Improvement of Renewable Power Forecasting Indicators Based on System Flexibility.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Improved Load Frequency Control of Time-Delayed Electric Vehicle Aggregators via Direct Search Method.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Day-ahead Modified Dispatching Model Considering Power System Flexibility.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Co-optimization of Microgrid's bids in Day-ahead Energy and Reserve Markets Considering Stochastic Decisions in a Real-time Market.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Coordination Framework for Integrated Operation of Water-Power Systems under Contingencies.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020
Power System Parameter Attack for Financial Profits in Electricity Markets.
IEEE Trans. Smart Grid, 2020

A Multi-timescale Response Capability Evaluation Model of EV Aggregator Considering Customers' Response Willingness.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Optimal Planning of Distributed Generation in Distribution Networks using the Differential Evolutionary Algorithm.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Combining Genetic and Gravitational Search Algorithms for the Optimal Management of Battery Energy Storage Systems in Real-Time Pricing Markets.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Optimal Bidding Strategy of an Aggregator Based on Customers' Responsiveness Behaviors Modeling.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Bilevel Information-Aware Distributed Resilient Control for Heterogeneous Microgrid Clusters.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Ultra-Short-Term Solar PV Power Forecasting Method Based on Frequency-Domain Decomposition and Deep Learning.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Big Data Compression in Smart Grids via Optimal Singular Value Decomposition.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Convolutional Auto-encoder Based Sky Image Prediction Model for Minutely Solar PV Power Forecasting.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

2019
Optimal Scheduling of Demand Response in Pre-Emptive Markets Based on Stochastic Bilevel Programming Method.
IEEE Trans. Ind. Electron., 2019

Day-Ahead Optimal Joint Scheduling Model of Electric and Natural Gas Appliances for Home Integrated Energy Management.
IEEE Access, 2019

Cross-Domain Feature Extraction-Based Household Characteristics Identification Approach Using Smart Meter Data.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

Smart Households' Available Aggregated Capacity Day-ahead Forecast Model for Load Aggregators under Incentive-based Demand Response Program.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

Deep Learning Based Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

PV- Load Decoupling Based Demand Response Baseline Load Estimation Approach for Residential Customer with Distributed PV System.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

Adaptive Operation Strategies for Electric Vehicle Charging Stations.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

Optimal Dispatch of Multi-stakeholder Based on Pareto-Nash Equilibrium Game for Active Distribution Network.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

Meta-Heuristic Optimization Based Two-stage Residential Load Pattern Clustering Approach Considering Intra-cluster Compactness and Inter-cluster Separation.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

2018
Synchronous Pattern Matching Principle-Based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description.
IEEE Trans. Smart Grid, 2018

Seasonal classification and RBF adaptive weight based parallel combined method for day-ahead electricity price forecasting.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

Multi-level wavelet decomposition based day-ahead solar irradiance forecasting.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

Capacity configuration optimization for stand-alone microgrid considering the uncertainties of wind and solar resource.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

A meta-heuristic optimization based residential load pattern clustering approach using improved Gravitational Search Algorithm.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

Pattern Classification and PSO Optimal Weights Based Sky Images Cloud Motion Speed Calculation Method for Solar PV Power Forecasting.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

Neural Network Based Irradiance Mapping Model of Solar PV Power Forecasting Using Sky Image.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

Purchase' Portfolio Optimization of Power Supply Company with Distributed PV Considering EVs.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

Design of Power Supply Service Plan for Electric Company Considering Harmonic Management.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

Fully-Distributed Gossip Control for Voltage Regulation of Inverter-based DRs in P2P Microgrids.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

Finite-Time Distributed Demand-Side Voltage Control of Droop-Like-Controlled Microgrids.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

2017
Dynamic Price Vector Formation Model-Based Automatic Demand Response Strategy for PV-Assisted EV Charging Stations.
IEEE Trans. Smart Grid, 2017

Inverse-time protection scheme for active distribution network based on user-defined characteristics.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

Multi-objective optimization model of source-load-storage synergetic dispatch for building energy system based on TOU price demand response.
Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017

2015
SVM based cloud classification model using total sky images for PV power forecasting.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015


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