K. Orwig

The impact of cheap natural gas on marginal emissions from electricity generation and implications for energy policy

Deep learning and process understanding for data-driven Earth system science

Real-time forecasting of solar irradiance ramps with smart image processing

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Reinforcement learning for building controls: The opportunities and challenges

Action dependent heuristic dynamic programming for home energy resource scheduling

Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting

Review on deep learning applications in frequency analysis and control of modern power system

Machine learning methods for solar radiation forecasting: A review

Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather

Achieving high renewable energy penetration in Western Australia using data digitisation and machine learning

Climate Change, Directed Innovation, and Energy Transition: The Long-Run Consequences of the Shale Gas Revolution

Advancements in Wind Integration Study Input Data Modeling: The Wind Integration National Dataset (WIND) Toolkit

Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

Validation of Hawaii Wind Integration Data Set, NREL (National Renewable Energy Laboratory) (Poster)

Recent Trends in Variable Generation Forecasting and Its Value to the Power System

Identifying Wind and Solar Ramping Events