[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Y Pan, M Zhu, Y Lv, Y Yang, Y Liang, R Yin… - Advances in Applied …, 2023 - Elsevier
As one of the most important and advanced technology for carbon-mitigation in the building
sector, building performance simulation (BPS) has played an increasingly important role …

Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic …

S Mohseni, AC Brent, S Kelly, WN Browne - Renewable and Sustainable …, 2022 - Elsevier
The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …

A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

R Lu, SH Hong, X Zhang - Applied energy, 2018 - Elsevier
With the modern advanced information and communication technologies in smart grid
systems, demand response (DR) has become an effective method for improving grid …

A review of demand-side management: Reconsidering theoretical framework

AF Meyabadi, MH Deihimi - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Demand-side management (DSM) has a crucial role in the attainment of sustainable energy
that aims to optimize the energy utilization and mitigate emissions. Hence, DSM enhances …

Game theory based interactive demand side management responding to dynamic pricing in price-based demand response of smart grids

R Tang, S Wang, H Li - Applied Energy, 2019 - Elsevier
Bidirectional interaction between power grid and buildings is a key characteristic of smart
grids. Achieving a win-win situation for a grid and buildings with such interactions remains a …

Machine learning-based thermal response time ahead energy demand prediction for building heating systems

Y Guo, J Wang, H Chen, G Li, J Liu, C Xu, R Huang… - Applied energy, 2018 - Elsevier
Energy demand prediction of building heating is conducive to optimal control, fault detection
and diagnosis and building intelligentization. In this study, energy demand prediction …

Performance evaluation of sequence-to-sequence-Attention model for short-term multi-step ahead building energy predictions

G Li, F Li, T Ahmad, J Liu, T Li, X Fang, Y Wu - Energy, 2022 - Elsevier
Traditional building energy prediction (BEP) methods usually solve time-series prediction
problems using either recursive strategy or direct strategy, which may ignore time …

Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities

Y Zhou, S Zheng - Applied Energy, 2020 - Elsevier
The accurate demand prediction with high efficiency and advanced demand-side controller
are essential for the enhancement of energy flexibility provided by buildings, whereas the …

Game-Theory based dynamic pricing strategies for demand side management in smart grids

D Srinivasan, S Rajgarhia, BM Radhakrishnan… - Energy, 2017 - Elsevier
With the increasing demand for electricity and the advent of smart grids, developed countries
are establishing demand side management (DSM) techniques to influence consumption …

Evaluation of the performance gap in industrial, residential & tertiary near-Zero energy buildings

N Kampelis, K Gobakis, V Vagias, D Kolokotsa… - Energy and …, 2017 - Elsevier
Energy efficiency, advanced controls and renewable energy systems for operating industrial,
residential and tertiary sector buildings designed to be Near-Zero Energy are investigated to …