Improved quantile convolutional neural network with two-stage training for daily-ahead probabilistic forecasting of photovoltaic power

Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

Weicong Kong, Zhao Yang Dong, Youwei Jia et al. · IEEE Transactions on Smart Grid · 2017 · 2.5K citations

Computing, Data Science, Forecasting +16

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

Fei Wang, Zhiming Xuan, Zhao Zhen et al. · Energy Conversion and Management · 2020 · 622 citations

Computing, Data Science, Forecasting +16

Deep learning framework to forecast electricity demand

Jatin Bedi, Durga Toshniwal · Applied Energy · 2019 · 468 citations

Computing, Computer Science, Electrical Engineering +14

Nonparametric quantile estimation

ANU Open Research (Australian National University) · 2006 · 377 citations · Full text

Natural Sciences, Mathematics, Econometrics +16

Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting

Fei Wang, Zhanyao Zhang, Chun Liu et al. · Energy Conversion and Management · 2018 · 333 citations

Natural Sciences, Data Science, Meteorology +16