Machine learning and deep learning (DL)-based forecasting models have shown excellent predictive performances, but they require a large amount of data for model construction. Insufficient data can be augmented using generative adversarial networks (GANs), but these are not effective for...

This paper measures the impact of a series of reforms enacted by a subset of Italian regions from 2009 to 2013 that dramatically simplified the authorization procedure for investment in medium-sized photovoltaic (PV) plants, i.e. plants with an installed capacity of between 20 and 200 kW. We...

Large scale diffusion of low carbon technologies (LCTs) is an important element of strategies to mitigate climate change. However, diffusion of LCTs faces a number of barriers especially in developing and emerging countries. The Chinese photovoltaic (PV) paradox is an illustrative example for...