Leveraging XR in AEC education focusing on occupant behavior-related building energy use: A systematic review
Extended reality (XR) is transforming architecture, engineering, and construction (AEC)
education and occupant behavior (OB)-related building energy use analysis. This study …
education and occupant behavior (OB)-related building energy use analysis. This study …
[HTML][HTML] Semantic enrichment for BIM-based building energy performance simulations using semantic textual similarity and fine-tuning multilingual LLM
To achieve the global targets of the Paris Agreement of limiting global warming, it is
necessary to reduce the operational energy of buildings, which are responsible for around …
necessary to reduce the operational energy of buildings, which are responsible for around …
A deep neural network with two-step decomposition technique for predicting ultra-short-term solar power and electrical load
Solar penetration and energy consumption are rapidly increasing and transforming the
modern power system due to population growth, urbanization, industrialization, and the …
modern power system due to population growth, urbanization, industrialization, and the …
Price perturbations for privacy preserving demand response with distribution network awareness
Demand response (DR), where electricity consumption is shifted in response to incentive
signals, can ease the transition to renewable generation. However, when many devices …
signals, can ease the transition to renewable generation. However, when many devices …
Pricing flexibility of shiftable demand in electricity markets
Enabling participation of demand-side flexibility in electricity markets is key to improving
power system resilience and increasing the penetration of renewable generation. In this …
power system resilience and increasing the penetration of renewable generation. In this …
[HTML][HTML] FleetRL: Realistic reinforcement learning environments for commercial vehicle fleets
E Cording, J Thakur - SoftwareX, 2024 - Elsevier
Reinforcement Learning for EV charging optimization has gained significant academic
attention in recent years, due to its ability to handle uncertainty, non-linearity, and real-time …
attention in recent years, due to its ability to handle uncertainty, non-linearity, and real-time …
[HTML][HTML] Cost and emissions impact of voluntary clean energy procurement strategies
H He, A Derenchuk, R Tabors, A Rudkevich - The Electricity Journal, 2024 - Elsevier
Large electricity consumers, particularly companies in the technology sector, are pursuing
several different strategies to reduce their Scope 2 emissions through clean energy …
several different strategies to reduce their Scope 2 emissions through clean energy …
A Benchmarking Tool for State-of-the-Art Microgrid Design Approaches
Optimal sizing, placement, and dispatch of distributed energy resources in an microgrid
(MG) are crucial for minimizing the operation cost and initial investment cost incurred by the …
(MG) are crucial for minimizing the operation cost and initial investment cost incurred by the …
A new database of building-space-specific internal loads and load schedules for performance based code compliance modeling of commercial buildings
Building-level loads and load schedules prescribed by current modeling rules save
modelers time and provide standards during whole building performance modeling …
modelers time and provide standards during whole building performance modeling …
Regional Residential Short-Term Load-Interval Forecasting Based on SSA-LSTM and Load Consumption Consistency Analysis
R Zhang, Z Zhu, M Yuan, Y Guo, J Song, X Shi, Y Wang… - Energies, 2023 - mdpi.com
The electricity consumption behavior of the inhabitants is a major contributor to the
uncertainty of the residential load system. Human-caused uncertainty may have a …
uncertainty of the residential load system. Human-caused uncertainty may have a …