IEEE Working Group on Energy Forecasting

Past information (before August, 2019) about the working group can also be found here.

Officers

Chair: Prof. Hamidreza Zareipour, University of Calgary, Canada (Secretary: 2012 - 2016; Vice Chair: 2016-2019)
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

Utility application oriented energy forecasting
Focus on practical needs of utilities:

  1. Data: outlier detection, data cleansing, selection of weather station(s)

  2. Inputs: temperature forecast, wind forecast, solar forecast, EV load forecast, customer behavior, demand response activities, loss evaluation

  3. Modeling: hierarchical (system-substation-feeder-meter) forecasting, multi-region forecasting

  4. Applications (outputs): price forecasting, demand response analysis, planning of demand side management, risk management, weather normalization, loss evaluation

Ongoing Projects

  1. Global Energy Forecasting Competition 2020

Completed Projects

  1. Global Energy Forecasting Competition 2017

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

  3. Literature review of load forecasting techniques and practices

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

  5. Global Energy Forecasting Competition 2014

  6. Global Energy Forecasting Competition 2012

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

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

Activities at IEEE PES Conferences

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; Universite 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, Canad