Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory

Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks

(2020) Zi Lin et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19

(2020) Hongfang Lu et al.   ENERGY

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

Reducing energy demand: A review of issues, challenges and approaches

(2015) Steve Sorrell   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Predictive model for assessing and optimizing solar still performance using artificial neural network under hyper arid environment

(2015) Ahmed F. Mashaly et al.   SOLAR ENERGY

Energy systems modeling for twenty-first century energy challenges

(2014) Stefan Pfenninger et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

The impact of future energy demand on renewable energy production – Case of Norway

(2013) Eva Rosenberg et al.   ENERGY