A review of uncertainty characterisation approaches for the optimal design of distributed energy systems
Energy models are valuable tools that are commonly employed for the optimal design of
distributed energy systems (DES). However, the model-based design process of DES can …
distributed energy systems (DES). However, the model-based design process of DES can …
Reducing carbon emissions by integrating urban water systems and renewable energy sources at a community scale
This paper presents a novel take on the energy-water nexus; exploring the coupling of
renewable generation sources with drinking water distribution and wastewater collection …
renewable generation sources with drinking water distribution and wastewater collection …
Opportunistic maintenance strategy for wind turbines considering weather conditions and spare parts inventory management
C Zhang, W Gao, T Yang, S Guo - Renewable Energy, 2019 - Elsevier
The wind power industry has experienced rapid growth over the past few decades, but the
operation and maintenance costs have become huge challenges to achieve better …
operation and maintenance costs have become huge challenges to achieve better …
Short-term wind speed forecasting based on hybrid MODWT-ARIMA-Markov model
Markov chains (MC) are statistical models used to predict very short to short-term wind
speed accurately. Such models are generally trained with a single moving window …
speed accurately. Such models are generally trained with a single moving window …
Artificial intelligence-based student learning evaluation: a concept map-based approach for analyzing a student's understanding of a topic
In this paper, we describe a tool coined as artificial intelligence-based student learning
evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial …
evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial …
A new Markov-chain-related statistical approach for modelling synthetic wind power time series
T Pesch, S Schröders, HJ Allelein… - New journal of …, 2015 - iopscience.iop.org
The integration of rising shares of volatile wind power in the generation mix is a major
challenge for the future energy system. To address the uncertainties involved in wind power …
challenge for the future energy system. To address the uncertainties involved in wind power …
Non-homogeneous Markov wind speed time series model considering daily and seasonal variation characteristics
Wind speed model lays the foundation of wind power simulation and is crucial to the
analysis of wind power integrated into power systems. This paper proposes a non …
analysis of wind power integrated into power systems. This paper proposes a non …
An improved artificial physical optimization algorithm for dynamic dispatch of generators with valve-point effects and wind power
X Yuan, B Ji, S Zhang, H Tian, Z Chen - Energy conversion and …, 2014 - Elsevier
Wind power, a kind of promising renewable energy resource, has recently been getting
more attractive because of various environmental and economic considerations. But the …
more attractive because of various environmental and economic considerations. But the …
Short‐term forecasting of categorical changes in wind power with Markov chain models
M Yoder, AS Hering, WC Navidi, K Larson - Wind energy, 2014 - Wiley Online Library
As penetrations of renewable wind energy increase, accurate short‐term predictions of wind
power become crucial to utilities that must balance the load and supply of electricity. As …
power become crucial to utilities that must balance the load and supply of electricity. As …
[HTML][HTML] A novel switched model predictive control of wind turbines using artificial neural network-Markov chains prediction with load mitigation
The existing model predictive control algorithm based on continuous control using quadratic
programming is currently one of the most used modern control strategies applied to wind …
programming is currently one of the most used modern control strategies applied to wind …