Roles of artificial intelligence in construction engineering and management: A critical review and future trends

Y Pan, L Zhang - Automation in Construction, 2021 - Elsevier
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

A review of machine learning in building load prediction

L Zhang, J Wen, Y Li, J Chen, Y Ye, Y Fu, W Livingood - Applied Energy, 2021 - Elsevier
The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques

R Olu-Ajayi, H Alaka, I Sulaimon, F Sunmola… - Journal of Building …, 2022 - Elsevier
The high proportion of energy consumed in buildings has engendered the manifestation of
many environmental problems which deploy adverse impacts on the existence of mankind …

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

R Ahmed, V Sreeram, Y Mishra, MD Arif - Renewable and Sustainable …, 2020 - Elsevier
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …

Load forecasting models in smart grid using smart meter information: a review

F Dewangan, AY Abdelaziz, M Biswal - Energies, 2023 - mdpi.com
The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

Forecasting of photovoltaic power generation and model optimization: A review

UK Das, KS Tey, M Seyedmahmoudian… - … and Sustainable Energy …, 2018 - Elsevier
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

MN Akhter, S Mekhilef, H Mokhlis… - IET Renewable …, 2019 - Wiley Online Library
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …

A review on time series forecasting techniques for building energy consumption

C Deb, F Zhang, J Yang, SE Lee, KW Shah - Renewable and Sustainable …, 2017 - Elsevier
Energy consumption forecasting for buildings has immense value in energy efficiency and
sustainability research. Accurate energy forecasting models have numerous implications in …

Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges

P Lu, L Ye, Y Zhao, B Dai, M Pei, Y Tang - Applied Energy, 2021 - Elsevier
The integration of large-scale wind power introduces issues in modern power systems
operations due to its strong randomness and volatility. These issues can be resolved via …