A novel combined deep learning-based technique for electricity theft detection in a smart grid
Energy theft represents a major challenge for electricity distribution companies worldwide and constitutes a key component of non-technical losses (NTLs), alongside faulty meters and billing inaccuracies. Despite the rise of artificial intelligence techniques for electricity theft detection, existing approaches exhibit...