Patrick Mathiesen

Review of solar irradiance forecasting methods and a proposition for small-scale insular grids

Nearest-neighbor methodology for prediction of intra-hour global horizontal and direct normal irradiances

Accurate photovoltaic power forecasting models using deep LSTM-RNN

Solar forecasting methods for renewable energy integration

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence

Machine learning methods for solar radiation forecasting: A review

Probabilistic forecasting of the solar irradiance with recursive ARMA and GARCH models

Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 2013–14 Solar Energy Prediction Contest

Short-term predictability of photovoltaic production over Italy

Hybrid machine learning forecasting of solar radiation values

Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States

A high-resolution, cloud-assimilating numerical weather prediction model for solar irradiance forecasting

Geostrophic Wind Dependent Probabilistic Irradiance Forecasts for Coastal California