[HTML][HTML] A modeler's guide to handle complexity in energy systems optimization
Determining environmentally-and economically-optimal energy systems designs and
operations is complex. In particular, the integration of weather-dependent renewable energy …
operations is complex. In particular, the integration of weather-dependent renewable energy …
Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM
Heating load and cooling forecasting are essential for estimating energy consumption, and
consequently, helping engineers in improving the energy performance right from the design …
consequently, helping engineers in improving the energy performance right from the design …
Impact of different time series aggregation methods on optimal energy system design
Modeling renewable energy systems is a computationally-demanding task due to the high
fluctuation of supply and demand time series. To reduce the scale of these, this paper …
fluctuation of supply and demand time series. To reduce the scale of these, this paper …
Time series aggregation for energy system design: Modeling seasonal storage
The optimization-based design of renewable energy systems is a computationally
demanding task because of the high temporal fluctuation of supply and demand time series …
demanding task because of the high temporal fluctuation of supply and demand time series …
Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings
E O'Shaughnessy, D Cutler, K Ardani, R Margolis - Applied Energy, 2018 - Elsevier
As utility electricity rates evolve, pairing solar photovoltaic (PV) systems with battery storage
has potential to ensure the value proposition of residential solar by mitigating economic …
has potential to ensure the value proposition of residential solar by mitigating economic …
Clustering of residential electricity customers using load time series
O Motlagh, A Berry, L O'Neil - Applied energy, 2019 - Elsevier
Clustering of electricity customers supports effective market segmentation and management.
The literature suggests the clustering of residential customers by their load characteristics …
The literature suggests the clustering of residential customers by their load characteristics …
k-MILP: A novel clustering approach to select typical and extreme days for multi-energy systems design optimization
M Zatti, M Gabba, M Freschini, M Rossi, A Gambarotta… - Energy, 2019 - Elsevier
When optimizing the design of multi-energy systems, the operation strategy and the part-
load behavior of the units must be considered in the optimization model, which therefore …
load behavior of the units must be considered in the optimization model, which therefore …
[HTML][HTML] Planning the decarbonisation of energy systems: The importance of applying time series clustering to long-term models
The study of future energy scenarios with high shares of variable renewable energy sources
(VRES) requires an accurate representation of VRES variability and storage capacity …
(VRES) requires an accurate representation of VRES variability and storage capacity …
Co-optimization of configuration and operation for distributed multi-energy system considering different optimization objectives and operation strategies
J Wang, X Ren, S Zhang, K Xue, S Wang, H Dai… - Applied Thermal …, 2023 - Elsevier
This study constructs a distributed multi-energy system (DMES) more suitable for
development in the cities, which introduces renewable energy and energy storage …
development in the cities, which introduces renewable energy and energy storage …
Limits and potentials of Mixed Integer Linear Programming methods for optimization of polygeneration energy systems
L Urbanucci - Energy Procedia, 2018 - Elsevier
The simultaneous production of different energy vectors from hybrid polygeneration plants is
a promising way to increase energy efficiency and facilitate the development of distributed …
a promising way to increase energy efficiency and facilitate the development of distributed …