All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
[HTML][HTML] The role of carbon capture and storage to achieve net-zero energy systems: Trade-offs between economics and the environment
Carbon capture and storage can both reduce greenhouse gas emissions and provide
negative emissions to contribute to the transition to a net-zero society. The contribution of …
negative emissions to contribute to the transition to a net-zero society. The contribution of …
PyPSA: Python for power system analysis
Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and
optimising modern electrical power systems over multiple periods. PyPSA includes models …
optimising modern electrical power systems over multiple periods. PyPSA includes models …
A review and comparison of solvers for convex MINLP
In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …
problems as well as a comprehensive comparison of a large selection of commonly …
Gekko optimization suite
LDR Beal, DC Hill, RA Martin, JD Hedengren - Processes, 2018 - mdpi.com
This paper introduces GEKKO as an optimization suite for Python. GEKKO specializes in
dynamic optimization problems for mixed-integer, nonlinear, and differential algebraic …
dynamic optimization problems for mixed-integer, nonlinear, and differential algebraic …
[HTML][HTML] An energy-as-a-service business model for aggregators of prosumers
Traditional retail business models price electricity using volumetric tariffs, which charge
customers for the unit of energy consumed. These tariffs were designed for passive …
customers for the unit of energy consumed. These tariffs were designed for passive …
The IEEE reliability test system: A proposed 2019 update
The evolving nature of electricity production, transmission, and consumption necessitates an
update to the IEEE's Reliability Test System (RTS), which was last modernized in 1996. The …
update to the IEEE's Reliability Test System (RTS), which was last modernized in 1996. The …
Perspectives on the integration between first-principles and data-driven modeling
Efficiently embedding and/or integrating mechanistic information with data-driven models is
essential if it is desired to simultaneously take advantage of both engineering principles and …
essential if it is desired to simultaneously take advantage of both engineering principles and …
Frameworks and results in distributionally robust optimization
H Rahimian, S Mehrotra - Open Journal of Mathematical Optimization, 2022 - numdam.org
The concepts of risk aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. The statistical learning community has …
have developed significantly over the last decade. The statistical learning community has …
Powermodels. jl: An open-source framework for exploring power flow formulations
In recent years, the power system research community has seen an explosion of novel
methods for formulating and solving power network optimization problems. These emerging …
methods for formulating and solving power network optimization problems. These emerging …