Household Adoption of Energy-Efficient Appliances: Evidence from Air Conditioner Purchases (2021)

Deep Learning for the Inverse Design of Metasurface-Based Energy Materials (2021)

Exploration of Neural Networks and Kalman Filters to Estimate Parameters Driving Energy Use (2021)

Reducing Power Sector Emissions in China for Climate & Public Health Benefits (2021)

Detection of Above Ground Storage Tanks Using Faster R-CNN (2021)

Scales of Energy Poverty: Understanding Energy Justice Through Spatial Analysis (2021)

Mapping Energy Infrastructure with Unmanned Aerial Vehicles (UAVs) and Deep Learning (2021)

Electricity Markets - Part 2 | Foundations for Energy Data Analytics

Tips for Effective Data Visualization | Dr. Eric Monson (Duke University Libraries)

Environmental Policy and the Power Sector | Foundations for Energy Data Analytics

The Microeconomics of Energy Access | Foundations for Energy Data Analytics

Geospatial Analysis | Foundations for Energy Data Analytics

Electricity Markets | Foundations for Energy Data Analytics

Unsupervised Learning | Foundations for Energy Data Analytics

Computer Vision | Foundations for Energy Data Analytics

Energy Infrastructure Detection with Satellites: Synthetic Imagery for Finding Wind Turbines

The Global Rise of the Modern Plug-In Electric Vehicle: Public Policy, Innovation, and Strategy

The Power of Deserts: Climate Change, the Middle East, and the Promise of a Post-Oil Era

Women in Energy 2021

Energy in Emerging Markets Career Talks: Government and Development Banks

Estimating GHG Emissions from Every Power Plant on the Planet | Dr. Heather Couture

Using Night Lights to Study the Politics of Energy Access and Reliability | Dr. Brian Min

Development Seed’s Work Using Machine Learning to Detect Energy Infrastructure | Martha Morrissey

Energy Access Explorer: A Map to Connect SDG 7 & Sustainable Dev. Outcomes | Dr. Dimitrios Mentis

Estimating Solar PV Capacity & Building Energy Use with Satellite Imagery | Dr. Kyle Bradbury

Applying Data Science to Utility Operations | John Pressley and Dylan Lustig

2020 Duke University Energy Data Analytics Symposium: Opening Remarks

Estimating decomposing 'the' Elasticity of Demand: Insights from 600M Gas Bills | Dr. Ed Rubin

CityDNN: A Deep Neural Network for Urban Energy Simulation Models | Dr. Zoltan Nagy

Infrastructure Constraints on Energy Transitions: Lessons from History | Dr. Elisabeth Moyer

Surrogate Modeling for Scalable Assessment of Wind Plant Tech. Innovation | Dr. Dylan Harrison-Atlas

Keynote Presentation: Digital’s Role in the Future of Energy | Dr. Colin Parris, GE Digital

Matching Methods for Causal Inference from Duke’s Almost-Matching-Exactly Lab | Dr. Cynthia Rudin

Counterfactual Prediction Methods as a Substitute for Randomized Control Trials | Dr. Brian Prest

Harnessing Opportunistic Data & Physics Intuition to Enable Autonomous Buildings | Dr. Mario Bergés

Electrical Grid Application of Modern Portfolio Theory Risk Metrics | Olukunle Owolabi (Tufts)

Toward Data-Driven Control of Distributed Energy Resources using RL | Sayak Mukherjee (PNNL)

Solar Array Mapping in San Diego | Bohao Huang (Duke)

Power Plant Pollution Monitoring via Bandit Algorithms | Tianyu Wang (Duke)

Mapping Electricity Grid Infrastructure in Developing Countries | Santiago Correa (UMass Amherst)

SolarFinder: Automatic Detection of Solar Photovoltaic Arrays | Dong Chen (FIU)

Utility-Scale PV + Storage: A Cost Effective Alternative for Decarbonization | Edgar Virguez (Duke)

Combining Deep Learning & Physics to Cut the Costs of Advanced Building Control | Ján Drgoňa (PNNL)

Estimating Insulation Efficiency via Satellite Imagery using Super-Resolution | Alina Barnett (Duke)

The Relation Between Electricity Consumption and Night-time Lights | Dipendra Bhattarai (UTAS)

Disaggregating the Behavioral Factors in Residential Load Profiles | Qingran Li (Duke)

Energy Flows through the Global Economy | Jun Shepard (Duke)

Non-intrusive Load Monitoring Using Machine Learning Algorithms | Gopinath Rajendiran (CSIO)

Urban Energy Modeling and the Impact of Retrofits & Overheating Risks | Juliana Felkner (UT Austin)

Optimal Targeting of Information Provision Evidence w/ Home Energy Reports | Todd Gerarden (Cornell)

Quantifying Residential Demand Response Potential | Ashwin Shirsat (NCSU)

Inverse Optimal Power Flow: Assessing the Vulnerability of Grid Data | Priya Donti (Carnegie Mellon)

Estimating Solar PV Soiling Using a Satellite-Based Remote Sensing Approach | Tongshu Zheng (Duke)

Modeling Solar Performance using Multispectral Satellite Data | Akansha Singh Bansal (UMass Amherst)

Predicting Changes in Southern CA’s Residential Electricity Consumption | McKenna Peplinski (USC)

Data-driven Toolkit for Solar PV Performance Modeling and Forecasting | Noman Bashir (UMass Amherst)

Frackquakes: Litigation and Seismic Impact of Wastewater Injection Wells

The Future of Energy: Quick Talks from Duke University Experts

A Wider Lens on Energy: Adapting Deep Learning Techniques to Inform Energy Access Decisions

Advanced Nuclear Tech in a Decarbonized Energy Future: Feasible or Fantastical?