AI-empowered methods for smart energy consumption: A review of load forecasting, anomaly detection and demand response

X Wang, H Wang, B Bhandari, L Cheng - International Journal of Precision …, 2024 - Springer
This comprehensive review paper aims to provide an in-depth analysis of the most recent
developments in the applications of artificial intelligence (AI) techniques, with an emphasis …

A real-time electrical load forecasting and unsupervised anomaly detection framework

X Wang, Z Yao, M Papaefthymiou - Applied Energy, 2023 - Elsevier
We propose a unified machine learning (ML) framework for simultaneously performing
electrical load forecasting and unsupervised anomaly detection in real time. For load …

[PDF][PDF] A review: Introduction and understanding of load forecasting

R Patel, MR Patel, RV Patel - Journal of Applied Science and …, 2019 - researchgate.net
Load forecasting is a process of predicting future load demand. It is very important function
in electrical power system. This paper deals with the review and understanding about the …

A novel error-output recurrent two-layer extreme learning machine for multi-step time series prediction

Z Liu, CK Loo, K Pasupa - Sustainable Cities and Society, 2021 - Elsevier
With the development of industry and technology, the development of the environment and
cities has drawn lots of attention. Time series prediction plays a vital role in protecting the …

Electrical load forecasting using fuzzy system

M Faysal, MM Murad, MJ Islam - 2019 - 103.133.167.11
In this project work, we develop a Fuzzy system to forecast electrical load in both short and
longterm basis. Here, we consider temperature, humidity, seasons of a year and time …

[PDF][PDF] Electrical Load Forecasting Using Machine Learning Methods, RNN and LSTM''

R Patel, M Patel, N Patel - Xi'an Dianzi Keji Daxue Xuebao …, 2020 - researchgate.net
Electrical load forecasting plays an important task in electric utilities for planning the
generation, transmission and distribution system. The other application of load forecasting is …

A multi-phase ensemble model for long term hourly load forecasting

K Bhatia, R Mittal, MM Tripathi - 2020 IEEE 7th international …, 2020 - ieeexplore.ieee.org
Long-term projection of electricity demand is necessary for strategizing production,
transmission, distribution and grid expansion in power systems. In this work, we propose a …

Genomics and neural networks in electrical load forecasting with computational intelligence

P Theerthagiri - Data Science for Genomics, 2023 - Elsevier
Background: Electrical load forecasting plays an important task in electric utilities for
planning the generation, transmission, and distribution systems. The other applications of …

[PDF][PDF] Solar based electrical power generation forecasting using time series models

R Patel, M Patel, NA Patel - International Journal of Darshan …, 2020 - researchgate.net
The rapid growth of solar power (plant) installation in various countries can be beneficial to
environment, but at the same time the interconnected solar panels to power grids can …

Big Data Workflows: DSL-based Specification and Software Containers for Scalable Execution

Y Dejene Dessalk - 2020 - diva-portal.org
Accurate long-term energy consumption forecasting of industrial entities is of interest to
distribution companies as it can potentially help reduce their churn and offer support in …