Employing categorical boosting (CatBoost) and meta-heuristic algorithms for predicting the urban gas consumption
This study was conducted on the presentation of a method to improve the forecast of urban
gas consumption based on the weather variables including temperature, pressure, humidity …
gas consumption based on the weather variables including temperature, pressure, humidity …
Price forecasts of ten steel products using Gaussian process regressions
X Xu, Y Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Addressing price forecasting problems is an important exercise to policymakers and market
participants in the resource business sector. In this work, we build Gaussian process …
participants in the resource business sector. In this work, we build Gaussian process …
Performance improvement of microbial fuel cell using experimental investigation and fuzzy modelling
The yield of a microbial fuel cell (MFC) is significantly influenced by the media composition,
which mainly consists of carbon, nitrogen sources and aeration rate. This study uses fuzzy …
which mainly consists of carbon, nitrogen sources and aeration rate. This study uses fuzzy …
Optimizing the planning of distributed generation resources and storages in the virtual power plant, considering load uncertainty
Y Zhang, F Yuan, H Zhai, C Song… - Journal of Cleaner …, 2023 - Elsevier
In recent years, the usage of new technologies in distributed generation is growing due to
the electricity industry movement towards privatization and decentralized production of …
the electricity industry movement towards privatization and decentralized production of …
Technical and economic operation of VPPs based on competitive bi–level negotiations
K Zhao, K Qiu, J Yan, MP Shaker - Energy, 2023 - Elsevier
In recent years, because of the shortage of fossil fuels and their consequent price increase,
along with the environmental pollution associated with these types of fuel, the use of …
along with the environmental pollution associated with these types of fuel, the use of …
Economic, environmental, and reliability assessment of distribution network with liquid carbon-based energy storage using multi-objective group teaching optimization …
B Shen, M Li, N Bohlooli - Journal of Cleaner Production, 2023 - Elsevier
In this paper, the optimum operation of a distribution network in the presence of renewable
resources, and a new combined system of liquid carbon dioxide energy storage is …
resources, and a new combined system of liquid carbon dioxide energy storage is …
RETRACTED: An optimal multi-objective demand side management of a smart microgrid consists of various building loads, considering relativity index and uncertainty
J Wang, J Du, D Luo, X Liu, SS Nahaei - 2023 - Elsevier
Post-publication, the editors discovered suspicious changes in authorship between the
original submission and the revised version of this paper. In summary, the paper was …
original submission and the revised version of this paper. In summary, the paper was …
Optimal integration of CCHP with electric Vehicle parking lots in energy hub
T Han, Y Yan, B Safar - Sustainable Energy Technologies and …, 2023 - Elsevier
Nowadays, due to environmental problems and the lack of fossil fuels, the use of Electric
Vehicles (EVs) is extended. These systems need optimal planning and management, like all …
Vehicles (EVs) is extended. These systems need optimal planning and management, like all …
[HTML][HTML] A novel real-time pricing for optimal DRP, considering price elasticity, and charging control methods of PHEV integrated with smart grids, using GMO algorithm
M Li, Y Ahad - Engineering Science and Technology, an International …, 2023 - Elsevier
With the development of smart grids, optimizing the performance of response programs in
the distribution system in operation and development, held special importance. This paper …
the distribution system in operation and development, held special importance. This paper …
Evaluating the reliability of microgrids consisting of renewable energy sources using stochastic scheduling based on the data-driven uncertainty set
X Sun, W Hui, X Dong, X Li, SS Nahani - Engineering Applications of …, 2024 - Elsevier
The paper addresses challenges arising from the unpredictable and probabilistic nature of
wind speed and solar irradiance, leading to variable power production in renewable …
wind speed and solar irradiance, leading to variable power production in renewable …