Machine learning in subsurface geothermal energy: Two decades in review
This paper reviews the trends in applying machine learning to subsurface geothermal
resource development. The review is focused on the machine learning applications over the …
resource development. The review is focused on the machine learning applications over the …
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …
processes in science and engineering. In the current review, we focus on the applications of …
Renewable energy: Present research and future scope of Artificial Intelligence
SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …
way for human welfare while still protecting the environment and its living creatures. The …
Comparative data-driven enhanced geothermal systems forecasting models: A case study of Qiabuqia field in China
Geothermal energy is gaining global attractiveness owing to its abundance and sustainable
nature. An in-depth understanding of potential geothermal production provides the energy …
nature. An in-depth understanding of potential geothermal production provides the energy …
Development, analysis and performance assessment of a combined solar and geothermal energy-based integrated system for multigeneration
In this paper, a novel solar and geothermal energy-based integrated multigeneration system
is proposed for multigenerational product plan. The system includes two ORC (organic …
is proposed for multigenerational product plan. The system includes two ORC (organic …
Hybrid artificial neural network based on a metaheuristic optimization algorithm for the prediction of reservoir temperature using hydrogeochemical data of different …
Due to the increase in the changes in global climate in recent years and the depletion of
fossil fuels, the interest in renewable energy sources in many developed countries is …
fossil fuels, the interest in renewable energy sources in many developed countries is …
Renewable energy management and market in Iran: A holistic review on current state and future demands
There are abundant renewable energy sources in Iran such as wind, solar, geothermal,
biomass. However, Iran is fully dependent on fossil fuels for industrial, residential and …
biomass. However, Iran is fully dependent on fossil fuels for industrial, residential and …
Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge …
In the present article, the adaptive neuro-fuzzy inference system (ANFIS) is employed to
model the discharge coefficient in rectangular sharp-crested side weirs. The genetic …
model the discharge coefficient in rectangular sharp-crested side weirs. The genetic …
Feasibility of geothermal power assisted hydrogen production in Iran
ME Ramazankhani, A Mostafaeipour… - International Journal of …, 2016 - Elsevier
Geothermal energy is a form of renewable energy which, unlike other sources of this kind, is
always available and can be used continuously without interruption. Furthermore, the …
always available and can be used continuously without interruption. Furthermore, the …
Review of machine learning methods applied to enhanced geothermal systems
L Wang, Z Yu, Y Zhang, P Yao - Environmental Earth Sciences, 2023 - Springer
The objective of this study was to summarize the progress in the application of machine
learning (ML) to enhanced geothermal systems (EGSs), including the entire process of EGS …
learning (ML) to enhanced geothermal systems (EGSs), including the entire process of EGS …