A review of the-state-of-the-art in data-driven approaches for building energy prediction

Y Sun, F Haghighat, BCM Fung - Energy and Buildings, 2020 - Elsevier
Building energy prediction plays a vital role in develo** a model predictive controller for
consumers and optimizing energy distribution plan for utilities. Common approaches for …

Methods of forecasting electric energy consumption: A literature review

RV Klyuev, ID Morgoev, AD Morgoeva, OA Gavrina… - Energies, 2022 - mdpi.com
Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score

E Vivas, H Allende-Cid, R Salas - Entropy, 2020 - mdpi.com
Electric power forecasting plays a substantial role in the administration and balance of
current power systems. For this reason, accurate predictions of service demands are needed …

Compositional data techniques for forecasting dynamic change in China's energy consumption structure by 2020 and 2030

Y Wei, Z Wang, H Wang, Y Li - Journal of Cleaner Production, 2021 - Elsevier
China has adopted legislations for accelerating the non-fuel energy restructuring with
explicit targets that need to be achieved by 2020 and 2030. The joint forecasting and …

Forecasting Chinese economic growth, energy consumption, and urbanization using two novel grey multivariable forecasting models

C Wang, Y Cao - Journal of Cleaner Production, 2021 - Elsevier
Economic growth, energy consumption, and urbanization are mutually influenced, therefore,
forecasting economic growth, energy consumption and urbanization in China has always …

A review of data-driven building performance analysis and design on big on-site building performance data

Z Tian, X Zhang, S Wei, S Du, X Shi - Journal of Building Engineering, 2021 - Elsevier
Building performance design (BPD) is a crucial pathway to achieve high-performance
buildings. Previous simulation-based BPD is being questioned due to the performance gaps …

[HTML][HTML] Statistical comparison of time series models for forecasting brazilian monthly energy demand using economic, industrial, and climatic exogenous variables

ALM Serrano, GAP Rodrigues, PHS Martins, GM Saiki… - Applied Sciences, 2024 - mdpi.com
Energy demand forecasting is crucial for effective resource management within the energy
sector and is aligned with the objectives of Sustainable Development Goal 7 (SDG7). This …

Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression

Y He, Y Yan, Q Xu - International Journal of Electrical Power & Energy …, 2019 - Elsevier
Uncertainty among wind and solar power affects the stability of power systems. In order to
fully describe the uncertainty of wind and solar power, a probability density prediction model …

Optimizing energy consumption structure in Chongqing of China to achieve low-carbon and sustainable development based on compositional data

Y He, Y Chen, W Zhang, Y Wang - Sustainable Energy Technologies and …, 2022 - Elsevier
The optimal allocation of energy consumption structure has a vital impact on the sustainable
development of economy and environment. However, the joint prediction and systematic …

A study on natural gas consumption forecasting in China using the LMDI-PSO-LSTM model: Factor decomposition and scenario analysis

Q Wang, R Suo, Q Han - Energy, 2024 - Elsevier
Natural gas, as a clean and low-carbon energy resource, assumes a vital role in facilitating
the transformation of the Chinese energy structure. Effectively forecasting its consumption …