IEEE Working Group on Energy Forecasting and Analytics
Past information (before August, 2019) about the working group can also be found here.
Join the working group in Linkedin.
Officers
Chair: Dr. Jethro Browell, University of Strathclyde, UK
Vice-Chair: Dr. Yi Wang, The University of Hong Kong, China
Secretary: Dr. Ricardo Jorge Bessa, INESC TEC, Portugal
Past-chair: Prof. Hamidreza Zareipour, University of Calgary, Canada (Secretary: 2012 - 2016; Vice Chair: 2016-2019; Chair: 2019-2022)
Past Officers
Prof. Tao Hong, University of North Carolina at Charlotte, US (Chair: 2011-2019)
Dr. Shu Fan, Monash University (Vice Chair: 2011-2016)
Scope
Energy forecasting
Forecasting objectives: load, renewable energy, price; individual consumer load, demand response, EV charging load, net load, wind power ramp; power, gas, heat, and cooling demands; reserve capacity, risk, network congestion;
Forecasting algorithms: traditional regression, advanced machine learning, deep learning, transfer learning, ensemble learning, robust forecasting;
Forecasting outputs: point forecasting, probabilistic forecasting, hierarchical forecasting, cost-oriented forecasting;
Forecasting evaluation: alternative loss functions for different forecasting objectives and different applications.
Energy Analytics
Data preprocessing: outlier detection, data cleansing, feature selection, data compression;
Behavior modeling: load profiling, energy theft detection, renewable energy spatiotemporal correlation analysis, pattern recognition, sensitivity analysis, load or renewable energy simulation;
Applications: demand response implementation, data-driven pricing, bidding, and trading, topology identification, outage and risk management, privacy concerns.
Ongoing Projects
Completed Projects
IEEE PES Tutorial: Probabilistic Energy Forecasting: Methodologies, Implementations, and Applications
IEEE Transactions on Sustainable Energy – Special Section on “Advances in Renewable Energy Forecasting: Predictability, Business Models and Applications in the Power Industry”
IEEE Open Access Journal of Power and Energy – Special Section on “COVID-19 Impact on Electrical Grid Operation: Analysis & Mitigation”
IEEE DataPort Post-COVID Demand Forecasting Competition
Energy Forecasting: A Review and Outlook
Global Energy Forecasting Competition 2017
IEEE Power & Energy Magazine – Special Issue on Big Data Analytics
Literature review of load forecasting techniques and practices
IEEE Transactions on Smart Grid – Special Section on Big Data Analytics for Grid Modernization
Global Energy Forecasting Competition 2014
Global Energy Forecasting Competition 2012
IEEE Transactions on Smart Grid – Special Section on “Analytics for Energy Forecasting with Applications to Smart Grid”
IEEE PES Tutorial: Energy Forecasting in the Smart Grid Era
Activities
2022 PES General Meeting, Denver Colorado, 2022
Tutorial: “Probabilistic Energy Forecasting: Methodologies, Implementations, and Applications”
Instructors:
Dr. Jethro Browell, University of Glasgow, UK
Dr. Yi Wang, The University of Hong Kong, China
Dr. Tao Hong, the University of North Carolina at Charlotte, US
Dr. Bri-Mathias Hodge, National Renewable Energy Laboratory, US
Panel Session: “Utilisation of probabilistic energy forecasts in power system operation”
Chairs: Jethro Browell and Yi Wang
“Innovation in operational planning from days to hours ahead under forecast uncertainty: a case study from Great Britain” – Chris Dent, University of Edinburgh, UK
“Reserve Dimensioning Using Probabilistic Forecasts” – Aidan Tuohy, Electric Power Research Institute, US
“Privacy-preserving probabilistic forecasting in local energy communities” – Jean-Fran�ois TOUBEAU, University of Mons, Belgium
“Efficient Incorporation of probabilistic forecasting in Unit Commitment: A Scenario Map Method” – Ershun Du, Tsinghua University, China
IEEE PES Energy Forecasting and Analytics Working Group Annual Meeting 2020
Chair: Hamidreza Zareipour
Meeting minute can be found here; the vedio of the online annual meeting can be found here.
2020 PES General Meeting, online, 2020
Panel Session: “Machine Learning Applications to Energy Forecasting and Analytics”
Chairs: Luana Marangon Lima and Ao (Morgan) Teng
“Multi-Day-ahead Net Interchange Schedule Forecast based on LSTM Recurrent Neural Network” – Fangxing Li and Dr Yang Du, University of Tennessee
“ML for electricity price forecast in Brazil” – Anderson de Queiroz, North Carolina Central University, and Victor Duraes, North Carolina State University
“Deep Learning Techniques to Inform Energy Access Decisions” – Kyle Bradbury, Duke University
“LMP price forecasting problesm with a machine learning angle” – Lang Tong, Cornell University
“Deep Constrained Learning for Power Systems” – Pascal Van Hentenryck, Georgia Tech
“Deep learning applications at Hydro-Quebec” – Francois Miralles, Danielle De Seve, Lester Loud, Arnaud Zinflou, Hydro–Quebec
2019 PES General Meeting, Atlanta, GA, August 4-8, 2019
Panel Session: “Probabilistic energy forecasting”
Chairs: Yi Wang, Tao Hong
“Modelling forecast errors in operation scheduling: The case of microgrids” – Hamidreza Zareipour, University Calgary, Canada
“Probabilistic industrial load forecasting” – Pasquale De Falco, University of Napoli Parthenope, Italy
“Spatio-temporal modeling and forecasting of wind power” – Ciaran Gilbert, University of Strathclyde, UK
“Combining probabilistic load forecasts” – Yi Wang, ETH Zurich, Switzerland
“Deep Learning for multivariate probabilistic forecasting” – Jean-Francois Toubeau, Universite de Mons, Belgium
IEEE PES Energy Forecasting Working Group Meeting
Chair: Hamidreza Zareipour
Meeting minute can be found here.
2017 PES General Meeting, Chicago, IL, July 16 - 20, 2017
Panel Session: “Accommodating intermittent renewable energy by multiple energy systems integration: forecasting, operations and planning”
Chairs: Ning Zhang and Tao Hong
“Energy Systems Integration: a megatrend or just business as usual?” – Mark O'Malley, University College Dublin, Ireland
“Using energy system integration to increase grid flexibility and increase renewable energy deployments” – Benjamin Kroposki, National Renewable Energy Laboratory, USA
“Multi-energy virtual storage for low carbon systems” – Pierluigi mancarella, University of Manchester, UK
“Clearing and Pricing for Coordinated Gas and Electricity Day – ahead Markets Considering Wind Power Uncertainty”–Jianhui Wang; Argonne National Laboratory, USA
“Standardized Matrix Modeling of Multiple Energy Systems” – Ning Zhang, Tsinghua University, China
“Lessons Learned from Global Energy Forecasting Competition 2017” – Tao Hong, University of North Carolina at Charlotte, USA
2016 PES General Meeting, Boston, MA, July 17 - 21, 2016
Tutorial: “Energy Forecasting in the Smart Grid Era”
Instructors:
Tao Hong, University of North Carolina at Charlotte, USA
Hamidreza Zareipour, University of Calgary, Canada
Pierre Pinson, Technical University of Denmark
Panel Session: “Offering, Pricing and Managing Uncertainty and Variability in Power System Operations with Significant Renewable Energy Integration”
Chairs: Ning Zhang and Pierre Pinson
“Reserves in Stochastic Unit Commitment: an Irish System Case Study” – Mark O'Malley, University College Dublin, Ireland
“Towards Pricing of Uncertainty and Variability in Electricity Markets” – Pierre Pinson, Technical University of Denmark, Denmark
“Data-Driven Real-Time Power Dispatch for Maximizing Variable Renewable Generation” – Jianhui Wang; Argonne National Laboratory, USA
“Probabilistic Forecasting and Optimization of Power Systems Operation” – Dimitry Gorinevsky and Saahil Shenoy, Stanford University, USA
“Remuneration of Flexible Capacity through Operating Reserve Demand Curves: a Case Study of Belgium” – Anthony Papavasiliou; University Catholique de Louvain, Belgium
“Modeling and Handling the Uncertainty of Wind Power in Power System Operation Optimization” – Ning Zhang; Tsinghua University, China
2015 PES General Meeting, Denver, CO, July 26 - 30, 2015
Tutorial: “Energy Forecasting in the Smart Grid Era”
Instructors:
Tao Hong, University of North Carolina at Charlotte, USA
Shu Fan, Monash University, Australia
Hamidreza Zareipour, University of Calgary, Canada
Panel Session: “Global Energy Forecasting Competition 2014: an Overview”
Chair: Tao Hong
“Probabilistic Electric Load Forecasting” – Shu Fan, Monash University, Australia
“Probabilistic Electricity Price Forecasting” – Hamidreza Zareipour, University of Calgary, Canada
“Probabilistic Wind Power Forecasting” – Pierre Pinson, Technical University of Denmark
“Probabilistic Solar Power Forecasting” – Alberto Troccoli, CSIRO, Australia
“GEFCom2014 Institute Prize - University of North Carolina at Charlotte” – Tao Hong, University of North Carolina at Charlotte, USA
“GEFCom2014 Institute Prize - Tsinghua University” – Chongqing Kang, Tsinghua University, China
“Probabilistic Load and Price Forecasting - Tololo” – R. Nedellec, EDF R&D, France
“Probabilistic Price, Wind and Solar Forecasting - C3 Green Team” – Zico Kolter, Carnegie Mellon University, USA
“Probabilistic Wind and Solar Forecasting - dmlab” – Gabor Nagy, Budapest University of Technology and Economics, Hungary
Panel Session: “Global Energy Forecasting Competition 2014: Finalist Presentations”
Chair: Tao Hong
“Probabilistic Electric Load Forecasting - Adada” – Amandine Pierrot, EDF R&D, France
“Probabilistic Electric Load Forecasting - Jingrui (Rain) Xie” – Jingrui Xie, SAS, USA
“Probabilistic Electric Load Forecasting - OxMath” – Stephen Haben, University of Oxford, UK
“Probabilistic Electricity Price Forecasting - Team Poland” – Jakub Nowotarski, Wroclaw University of Technology, Poland
“Probabilistic Electricity Price Forecasting - Pat1” – Frank Lemke, KnowledgeMiner Software, Germany
“Probabilistic Wind Power Forecasting - kPower” – Mark Landry, Eigen Analytics, USA
“Probabilistic Wind Power Forecasting - Yao Zhang” – Yao Zhang, Xi'an Jiaotong University, China
“Probabilistic Solar Power Forecasting - Gang–gang” – Jing Huang, CSIRO, Australia
“Probabilistic Solar Power Forecasting - UT_Argonne” – Duehee Lee, University of Texas at Austine, USA
Global Energy Forecasting Competition 2014 - Reception
Chair: Tao Hong
2014 PES General Meeting, National Harbor, MD, July 27 - 31, 2014
Tutorial: “Energy Forecasting in the Smart Grid Era”
Instructors:
Tao Hong, University of North Carolina at Charlotte, USA
Hamidreza Zareipour, University of Calgary
Panel Session: “Load Forecasting: the State of the Practice”
Chairs: Tao Hong and Hamidreza Zareipour
“Data Issues in Spatial Electric Load Forecasting” – Edgar Manuel Carreno Franco, UNIOESTE, Brazil
“Preparing EKPC's Load Forecasting Process for PJM Integration” – Jamie Hall, East Kentuky Power Cooperative, USA
“Local Short and Middle Term Electricity Load Forecasting with Semi-Parametric Additive Models” – Raphael Nedellec, EDF R&D, France
“Long-term Load Forecasting at ERCOT” – Calvin Opheim, ERCOT, USA
“Supply and Demand Forecasting in Competitive Markets: The Case of Alberta” – John Esaiw, Alberta Electric System Operator, Canada
“Combining Load Forecasts from Multiple Vendors” – Tao Hong, University of North Carolina at Charlotte, USA
2014 IEEE PES T&D Conference & Exposition, Chicago, IL, April 14 - 17, 2014
Panel Session: “Integrating Energy Forecasts into Utility Planning and Operations: Perspectives from Market Operators”
Chairs: Tao Hong and Hamidreza Zareipour
“Integrating Energy Forecasts into Utility Planning and Operations: Perspectives from Market Operators” – Hamidreza Zareipour, University of Calgary, Canada
“Renewable Integration in the Operations of the California Energy Market” – Guillermo Bautista Alderete, CAISO, USA
“Load and Renewable Forecast in Grid Operations and Planning: ERCOT Experiences” – Sandip Sharma and Pengwei Du, ERCOT, USA
“Wind Forecast Integration at MISO” – Kristian Ruud, MISO, USA
“Integrating Forecasts into Alberta's Market” – John Esaiw, AESO, Canada
Panel Session: “Integrating Energy Forecasts into Utility Planning and Operations: Perspectives from Market Participants”
Chairs: Tao Hong and Hamidreza Zareipour
“Integrating Energy Forecasts into Utility Planning and Operations: Perspectives from Market Participants” – Tao Hong, University of North Carolina at Charlotte, USA
“Optimal Utility Operations Planning and the Vital Role of Short-Term Forecasting” – Arnie de Castro, SAS, USA
“Preparing for the Distribution Planners’ Increasingly Complex Job: A Pacific Gas and Electric LoadSEER Case Study” – Scott Smith, Integral Analytics, USA
“Joining the Energy Market: Experiences from AECC” – Crystal Glidewell, Arkansas Electric Cooperative Corporation, USA
“Meeting the Needs of Power Supply: NCEMC Experiences” – Jason Wilson, North Carolina Electric Membership Corporation, USA
2013 PES General Meeting, Vancouver, BC, Canada, 21 - 25 July, 2013
Tutorial: “Energy Forecasting in the Smart Grid Era”
Instructors:
Tao Hong, SAS
Shu Fan, Monash University
Hamidreza Zareipour, University of Calgary
Pierre Pinson, Technical University of Denmark
Panel Session: “Energy Forecasting: the State of the Art”
Chair: Tao Hong
“Load Curve Data Cleansing Methodologies and Tool” – Wenyuan Li and Adriel Lau, BC Hydro, Canada
“Load Forecasting in Australian Energy Market” – Shu Fan, Monash University, Australia
“Long Term Probabilistic Load Forecasting at NCEMC” – Jason Wilson, North Carolina Electric Membership Corporation, USA
“Knowing One's Limits - a DR Forecaster's Challenge” – Jeremy Donnell, PG&E, USA
“Modeling and Forecasting toward the Optimization of Regional Operation of PHEV Charging Stations” – Wei-Jen Lee, University of Texas - Arlington, USA
“Price Forecasting in Modern Power Grids” – Hamidreza Zareipour, University of Calgary, USA
“State of the Art in Wind Power Forecasting: Operations and Market Perspectives” – Pierre Pinson, Technical University of Denmark, Denmark
Panel Session: “Global Energy Forecasting Competition Final Presentations”
Chair: Tao Hong
“Global Energy Forecasting Competition: An Introduction” – Tao Hong, SAS, USA
“GEFCom2012 Hierarchical Load Forecasting: Exploratory Data Analysis” – Stuart McMenamin, Itron, USA
“GEFCom2012 Hierarchical Load Forecasting: A Gradient Boosting Approach” – Souhaib Ben Taieb, Universite Libre de Bruxelles, Belgium
“GEFCom2012 Hierarchical Load Forecasting Using Multi-Scale Semi-Parametric Models” – Raphael Nedellec, EDF R&D, France
“GEFCom2012 Hierarchical Load Forecasting Using Gradient Boosting Machines and Gaussian Process Regression” – James Robert Lloyd, University of Cambridge, UK
“GEFCom2012 Hierarchical Load Forecasting Using a Refined Parametric Model” – Colin Singleton, CountingLab Ltd, UK
“GEFCom2012 Wind Power Forecasting: An Ensemble Forecasting Approach with Gaussian Processes and Neural Networks” – Duehee Lee, University of Texas at Austin, USA
“GEFCom2012 Wind Power Forecasting Using Gradient Boosting Machines” – Gabor I. Nagy, Budapset University of Technology and Economics, Hungary
“GEFCom2012 Wind Power Forecasting: A Hybrid Approach” – Matt Wytock, Carnegie Mellon University, USA
“GEFCom2012 Wind Power Forecasting: A k-Nearest Neighbors Approach” – Ekaterina Mangalova, Siberian State Aerospace University, Russia
“GEFCom2012 Wind Power Forecasting: A Feature Engineering Approach” – Lucas Eustaquio, DTI Sistemas, Brazil
2012 PES General Meeting, San Diego, CA, 22 - 26 July, 2012
Panel Session: “Demand Response: Analytics, Practice, and Challenges in Smart Grid Environment”
Chair: Tao Hong; Co-chair: Fan Shu Topics and panelists:
“Demand Response Forecasting in Practice: Challenges and Opportunities” – Liang Huang, PGE, USA
“On the Impact of Demand Response: Load Shedding, Energy Conservation, and Further Implications to Load Forecasting” – Tao Hong, SAS, USA
“Pre-shifting Customer Behavior in Response to Dynamic Pricing Events” – Richard Song, SCE, USA
“Demand Response Participation in Wholesale Energy Markets” – Masood Parvania, Sharif University of Technology, Iran
“Demand Response - An Assessment of Load Participation in the ERCOT Nodal Market” – Wei-Jen Lee, UT Arlington, USA
“Activity-Based Costing Applied To Automotive Manufacturing” – Seog-Chan Oh, General Motors, USA
“IDROP: The New Generation of Demand Response” – Thomas Osterhus, Integral Analytics, USA
Panel Session: “Load Forecasting Methodologies and Applications in Operations and Planning”
Chair: Tao Hong; Co-chair: Fan Shu Topics and panelists:
“Electric Market and Operations Reliability” – Mingguo Hong, Midwest ISO, USA
“Forecasting Electricity Demand in Australian National Electricity Market” – Shu Fan, Monash University, Australia
“Short-Term Electric Load Forecasting at Southern California Edison” – Raymond Johnson, SCE, USA
“Short Term Load Forecasting based on Improved ESTAR GARCH Model” – Hao Chen, Nanjing Power Supply Company, China
“An Efficient Kernel Machine Technique for Short-term Load Forecasting under Smart Grid Environment” – Hiroyuki Mori, Meiji University, Japan
“Impact of Demand Response Contracts on Load Forecasting in a Smart Grid Environment” – Qun Zhou, Alstom Grid, USA
“Weighted Parallel Algorithm to Improve the Performance of Short-term Wind Power Forecasting” – Wei-Jen Lee, UT Arlington, USA
“Considering Urban Dynamics in Spatial Electric Load Forecasting” – Edgar Franco, UNIOESTE, Brazil
2011 PES General Meeting, Detroit, MI, 25-29 July, 2011
Panel Session: “Practical Aspects of Electric Load Forecasting”
Chair: Tao Hong; Co-chair: Fran Li Topics and panelists:
“A Naive Multiple Linear Regression Benchmark for Short Term Load Forecasting” – Tao Hong, SAS, USA
“Comparative Study on Load Forecasting Technologies for Different Geographical Distributed Loads” – Wei-Jen Lee, UT Arlington, USA
“Short Term Load Forecasting using Regime-Switching GARCH Models” – Hao Chen, Nanjing Power Supply Company, China
“Short-term Load Forecasting Using Semi-parametric Additive Models” – Shu Fan, Monash University, Australia
“MGE Experience with INSITE Spatial Load Forecasting” – David Barger, MGE, USA
“Including a Combined Fuzzy and Probabilistic Load Model in Transmission Energy Loss Evaluation: Experience at BC Hydro” – Wenyuan Li, BCTC, Cana
|