Data-driven prediction and optimization toward net-zero and positive-energy buildings: A systematic review

SN Mousavi, MG Villarreal-Marroquín… - Building and …, 2023 - Elsevier
Recent advances toward sustainable cities have promoted the concept of near-zero energy
consumption. A Positive Energy Building (PEB) model has been developed by the European …

Taxonomy research of artificial intelligence for deterministic solar power forecasting

H Wang, Y Liu, B Zhou, C Li, G Cao, N Voropai… - Energy Conversion and …, 2020 - Elsevier
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution …

M Neshat, MM Nezhad, S Mirjalili, DA Garcia… - Energy, 2023 - Elsevier
Developing an accurate and robust prediction of long-term average global solar irradiation
plays a crucial role in industries such as renewable energy, agribusiness, and hydrology …

Automation systems in smart buildings: a review

DS Vijayan, AL Rose, S Arvindan, J Revathy… - Journal of Ambient …, 2020 - Springer
In the present scenario everyone turned into smart applications by including the intelligence
into the applications and this reduces the burden of frequent interruption or control by the …

Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and …

P Lin, Z Peng, Y Lai, S Cheng, Z Chen, L Wu - Energy Conversion and …, 2018 - Elsevier
With the continuous consumption of fossil fuels such as coal, oil and natural gas, the
environmental energy problem has become the focus of attention in the world. The utilization …

Multi-step short-term solar radiation prediction based on empirical mode decomposition and gated recurrent unit optimized via an attention mechanism

X Kong, X Du, G Xue, Z Xu - Energy, 2023 - Elsevier
The utilization of sustainable and renewable energy for building heating is pivotal to
achieving sustainable development goals. However, the volatility of solar energy poses …

A novel hybrid model for multi-step ahead photovoltaic power prediction based on conditional time series generative adversarial networks

F Li, H Zheng, X Li - Renewable Energy, 2022 - Elsevier
The accuracy of photovoltaic power forecasting is crucial to the revenue of new energy
generation projects in electricity market trading. However, due to the highly stochastic …

Intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects

K Parvin, MSH Lipu, MA Hannan, MA Abdullah… - IEEE …, 2021 - ieeexplore.ieee.org
Buildings account for a significant amount of energy consumption leading to the issues of
global emissions and climate change. Thus, energy management in a building is …

A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load …

P Singh, P Dwivedi, V Kant - Energy, 2019 - Elsevier
Load forecasting is a challenging task in power markets that require attention in generating
accurate and stable load to deal with planning and management strategies. In past few …

[HTML][HTML] Analytical study on changes in domestic hot water use caused by COVID-19 pandemic

D Kim, T Yim, JY Lee - Energy, 2021 - Elsevier
COVID-19 made considerable changes in the lifestyle of people, which have led to a rise in
energy use in homes. So, this study investigated the relationship between COVID-19 and …