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: Prof. Hamidreza Zareipour, University of Calgary, Canada (Secretary: 2012 - 2016; Vice Chair: 2016-2019)
Vice-Chair: Dr. Jethro Browell, University of Strathclyde, UK
Secretary: Dr. Yi Wang, ETH Zurich, Switherland
Past-chair: Prof. Tao Hong, University of North Carolina at Charlotte, US (Chair: 2011-2019)

Past Officers

Dr. Shu Fan, Monash University (Vice Chair: 2011-2016)

Scope

Energy forecasting

  1. 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;

  2. Forecasting algorithms: traditional regression, advanced machine learning, deep learning, transfer learning, ensemble learning, robust forecasting;

  3. Forecasting outputs: point forecasting, probabilistic forecasting, hierarchical forecasting, cost-oriented forecasting;

  4. Forecasting evaluation: alternative loss functions for different forecasting objectives and different applications.

Energy Analytics

  1. Data preprocessing: outlier detection, data cleansing, feature selection, data compression;

  2. Behavior modeling: load profiling, energy theft detection, renewable energy spatiotemporal correlation analysis, pattern recognition, sensitivity analysis, load or renewable energy simulation;

  3. Applications: demand response implementation, data-driven pricing, bidding, and trading, topology identification, outage and risk management, privacy concerns.

Ongoing Projects

  1. IEEE DataPort Post-COVID Demand Forecasting Competition

Completed Projects

  1. Energy Forecasting: A Review and Outlook

  2. Global Energy Forecasting Competition 2017

  3. IEEE Power & Energy Magazine – Special Issue on Big Data Analytics

  4. Literature review of load forecasting techniques and practices

  5. IEEE Transactions on Smart Grid – Special Section on Big Data Analytics for Grid Modernization

  6. Global Energy Forecasting Competition 2014

  7. Global Energy Forecasting Competition 2012

  8. IEEE Transactions on Smart Grid – Special Section on “Analytics for Energy Forecasting with Applications to Smart Grid

  9. IEEE PES Tutorial: Energy Forecasting in the Smart Grid Era

Activities


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

  1. “Multi-Day-ahead Net Interchange Schedule Forecast based on LSTM Recurrent Neural Network” – Fangxing Li and Dr Yang Du, University of Tennessee

  2. “ML for electricity price forecast in Brazil” – Anderson de Queiroz, North Carolina Central University, and Victor Duraes, North Carolina State University

  3. “Deep Learning Techniques to Inform Energy Access Decisions” – Kyle Bradbury, Duke University

  4. “LMP price forecasting problesm with a machine learning angle” – Lang Tong, Cornell University

  5. “Deep Constrained Learning for Power Systems” – Pascal Van Hentenryck, Georgia Tech

  6. “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

  1. Modelling forecast errors in operation scheduling: The case of microgrids” – Hamidreza Zareipour, University Calgary, Canada

  2. Probabilistic industrial load forecasting” – Pasquale De Falco, University of Napoli Parthenope, Italy

  3. Spatio-temporal modeling and forecasting of wind power” – Ciaran Gilbert, University of Strathclyde, UK

  4. Combining probabilistic load forecasts” – Yi Wang, ETH Zurich, Switzerland

  5. 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

  1. “Energy Systems Integration: a megatrend or just business as usual?” – Mark O'Malley, University College Dublin, Ireland

  2. “Using energy system integration to increase grid flexibility and increase renewable energy deployments” – Benjamin Kroposki, National Renewable Energy Laboratory, USA

  3. “Multi-energy virtual storage for low carbon systems” – Pierluigi mancarella, University of Manchester, UK

  4. “Clearing and Pricing for Coordinated Gas and Electricity Day – ahead Markets Considering Wind Power Uncertainty”–Jianhui Wang; Argonne National Laboratory, USA

  5. “Standardized Matrix Modeling of Multiple Energy Systems” – Ning Zhang, Tsinghua University, China

  6. “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:

  1. Tao Hong, University of North Carolina at Charlotte, USA

  2. Hamidreza Zareipour, University of Calgary, Canada

  3. 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

  1. “Reserves in Stochastic Unit Commitment: an Irish System Case Study” – Mark O'Malley, University College Dublin, Ireland

  2. “Towards Pricing of Uncertainty and Variability in Electricity Markets” – Pierre Pinson, Technical University of Denmark, Denmark

  3. “Data-Driven Real-Time Power Dispatch for Maximizing Variable Renewable Generation” – Jianhui Wang; Argonne National Laboratory, USA

  4. “Probabilistic Forecasting and Optimization of Power Systems Operation” – Dimitry Gorinevsky and Saahil Shenoy, Stanford University, USA

  5. “Remuneration of Flexible Capacity through Operating Reserve Demand Curves: a Case Study of Belgium” – Anthony Papavasiliou; University Catholique de Louvain, Belgium

  6. “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:

  1. Tao Hong, University of North Carolina at Charlotte, USA

  2. Shu Fan, Monash University, Australia

  3. Hamidreza Zareipour, University of Calgary, Canada

Panel Session: “Global Energy Forecasting Competition 2014: an Overview”

Chair: Tao Hong

  1. “Probabilistic Electric Load Forecasting” – Shu Fan, Monash University, Australia

  2. “Probabilistic Electricity Price Forecasting” – Hamidreza Zareipour, University of Calgary, Canada

  3. “Probabilistic Wind Power Forecasting” – Pierre Pinson, Technical University of Denmark

  4. “Probabilistic Solar Power Forecasting” – Alberto Troccoli, CSIRO, Australia

  5. “GEFCom2014 Institute Prize - University of North Carolina at Charlotte” – Tao Hong, University of North Carolina at Charlotte, USA

  6. “GEFCom2014 Institute Prize - Tsinghua University” – Chongqing Kang, Tsinghua University, China

  7. “Probabilistic Load and Price Forecasting - Tololo” – R. Nedellec, EDF R&D, France

  8. “Probabilistic Price, Wind and Solar Forecasting - C3 Green Team” – Zico Kolter, Carnegie Mellon University, USA

  9. “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

  1. “Probabilistic Electric Load Forecasting - Adada” – Amandine Pierrot, EDF R&D, France

  2. “Probabilistic Electric Load Forecasting - Jingrui (Rain) Xie” – Jingrui Xie, SAS, USA

  3. “Probabilistic Electric Load Forecasting - OxMath” – Stephen Haben, University of Oxford, UK

  4. “Probabilistic Electricity Price Forecasting - Team Poland” – Jakub Nowotarski, Wroclaw University of Technology, Poland

  5. “Probabilistic Electricity Price Forecasting - Pat1” – Frank Lemke, KnowledgeMiner Software, Germany

  6. “Probabilistic Wind Power Forecasting - kPower” – Mark Landry, Eigen Analytics, USA

  7. “Probabilistic Wind Power Forecasting - Yao Zhang” – Yao Zhang, Xi'an Jiaotong University, China

  8. “Probabilistic Solar Power Forecasting - Gang–gang” – Jing Huang, CSIRO, Australia

  9. “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:

  1. Tao Hong, University of North Carolina at Charlotte, USA

  2. Hamidreza Zareipour, University of Calgary

Panel Session: “Load Forecasting: the State of the Practice”

Chairs: Tao Hong and Hamidreza Zareipour

  1. “Data Issues in Spatial Electric Load Forecasting” – Edgar Manuel Carreno Franco, UNIOESTE, Brazil

  2. “Preparing EKPC's Load Forecasting Process for PJM Integration” – Jamie Hall, East Kentuky Power Cooperative, USA

  3. “Local Short and Middle Term Electricity Load Forecasting with Semi-Parametric Additive Models” – Raphael Nedellec, EDF R&D, France

  4. “Long-term Load Forecasting at ERCOT” – Calvin Opheim, ERCOT, USA

  5. “Supply and Demand Forecasting in Competitive Markets: The Case of Alberta” – John Esaiw, Alberta Electric System Operator, Canada

  6. “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

  1. “Integrating Energy Forecasts into Utility Planning and Operations: Perspectives from Market Operators” – Hamidreza Zareipour, University of Calgary, Canada

  2. “Renewable Integration in the Operations of the California Energy Market” – Guillermo Bautista Alderete, CAISO, USA

  3. “Load and Renewable Forecast in Grid Operations and Planning: ERCOT Experiences” – Sandip Sharma and Pengwei Du, ERCOT, USA

  4. “Wind Forecast Integration at MISO” – Kristian Ruud, MISO, USA

  5. “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

  1. “Integrating Energy Forecasts into Utility Planning and Operations: Perspectives from Market Participants” – Tao Hong, University of North Carolina at Charlotte, USA

  2. “Optimal Utility Operations Planning and the Vital Role of Short-Term Forecasting” – Arnie de Castro, SAS, USA

  3. “Preparing for the Distribution Planners’ Increasingly Complex Job: A Pacific Gas and Electric LoadSEER Case Study” – Scott Smith, Integral Analytics, USA

  4. “Joining the Energy Market: Experiences from AECC” – Crystal Glidewell, Arkansas Electric Cooperative Corporation, USA

  5. “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:

  1. Tao Hong, SAS

  2. Shu Fan, Monash University

  3. Hamidreza Zareipour, University of Calgary

  4. Pierre Pinson, Technical University of Denmark

Panel Session: “Energy Forecasting: the State of the Art”

Chair: Tao Hong

  1. “Load Curve Data Cleansing Methodologies and Tool” – Wenyuan Li and Adriel Lau, BC Hydro, Canada

  2. “Load Forecasting in Australian Energy Market” – Shu Fan, Monash University, Australia

  3. “Long Term Probabilistic Load Forecasting at NCEMC” – Jason Wilson, North Carolina Electric Membership Corporation, USA

  4. “Knowing One's Limits - a DR Forecaster's Challenge” – Jeremy Donnell, PG&E, USA

  5. “Modeling and Forecasting toward the Optimization of Regional Operation of PHEV Charging Stations” – Wei-Jen Lee, University of Texas - Arlington, USA

  6. “Price Forecasting in Modern Power Grids” – Hamidreza Zareipour, University of Calgary, USA

  7. “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

  1. “Global Energy Forecasting Competition: An Introduction” – Tao Hong, SAS, USA

  2. “GEFCom2012 Hierarchical Load Forecasting: Exploratory Data Analysis” – Stuart McMenamin, Itron, USA

  3. “GEFCom2012 Hierarchical Load Forecasting: A Gradient Boosting Approach” – Souhaib Ben Taieb, Universite Libre de Bruxelles, Belgium

  4. “GEFCom2012 Hierarchical Load Forecasting Using Multi-Scale Semi-Parametric Models” – Raphael Nedellec, EDF R&D, France

  5. “GEFCom2012 Hierarchical Load Forecasting Using Gradient Boosting Machines and Gaussian Process Regression” – James Robert Lloyd, University of Cambridge, UK

  6. “GEFCom2012 Hierarchical Load Forecasting Using a Refined Parametric Model” – Colin Singleton, CountingLab Ltd, UK

  7. “GEFCom2012 Wind Power Forecasting: An Ensemble Forecasting Approach with Gaussian Processes and Neural Networks” – Duehee Lee, University of Texas at Austin, USA

  8. “GEFCom2012 Wind Power Forecasting Using Gradient Boosting Machines” – Gabor I. Nagy, Budapset University of Technology and Economics, Hungary

  9. “GEFCom2012 Wind Power Forecasting: A Hybrid Approach” – Matt Wytock, Carnegie Mellon University, USA

  10. “GEFCom2012 Wind Power Forecasting: A k-Nearest Neighbors Approach” – Ekaterina Mangalova, Siberian State Aerospace University, Russia

  11. “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:

  1. “Demand Response Forecasting in Practice: Challenges and Opportunities” – Liang Huang, PGE, USA

  2. “On the Impact of Demand Response: Load Shedding, Energy Conservation, and Further Implications to Load Forecasting” – Tao Hong, SAS, USA

  3. “Pre-shifting Customer Behavior in Response to Dynamic Pricing Events” – Richard Song, SCE, USA

  4. “Demand Response Participation in Wholesale Energy Markets” – Masood Parvania, Sharif University of Technology, Iran

  5. “Demand Response - An Assessment of Load Participation in the ERCOT Nodal Market” – Wei-Jen Lee, UT Arlington, USA

  6. “Activity-Based Costing Applied To Automotive Manufacturing” – Seog-Chan Oh, General Motors, USA

  7. “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:

  1. “Electric Market and Operations Reliability” – Mingguo Hong, Midwest ISO, USA

  2. “Forecasting Electricity Demand in Australian National Electricity Market” – Shu Fan, Monash University, Australia

  3. “Short-Term Electric Load Forecasting at Southern California Edison” – Raymond Johnson, SCE, USA

  4. “Short Term Load Forecasting based on Improved ESTAR GARCH Model” – Hao Chen, Nanjing Power Supply Company, China

  5. “An Efficient Kernel Machine Technique for Short-term Load Forecasting under Smart Grid Environment” – Hiroyuki Mori, Meiji University, Japan

  6. “Impact of Demand Response Contracts on Load Forecasting in a Smart Grid Environment” – Qun Zhou, Alstom Grid, USA

  7. “Weighted Parallel Algorithm to Improve the Performance of Short-term Wind Power Forecasting” – Wei-Jen Lee, UT Arlington, USA

  8. “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:

  1. “A Naive Multiple Linear Regression Benchmark for Short Term Load Forecasting” – Tao Hong, SAS, USA

  2. “Comparative Study on Load Forecasting Technologies for Different Geographical Distributed Loads” – Wei-Jen Lee, UT Arlington, USA

  3. “Short Term Load Forecasting using Regime-Switching GARCH Models” – Hao Chen, Nanjing Power Supply Company, China

  4. “Short-term Load Forecasting Using Semi-parametric Additive Models” – Shu Fan, Monash University, Australia

  5. “MGE Experience with INSITE Spatial Load Forecasting” – David Barger, MGE, USA

  6. “Including a Combined Fuzzy and Probabilistic Load Model in Transmission Energy Loss Evaluation: Experience at BC Hydro” – Wenyuan Li, BCTC, Cana