Related references
Note: Only part of the references are listed.Focus on the provincial inequalities in energy consumption and CO2 emissions of Iran's agriculture sector
Parisa Pakrooh et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Solving oligopolistic equilibrium problems with convex optimization
Ruud Egging-Bratseth et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
A game theory-based decentralized control strategy for power demand management of building cluster using thermal mass and energy storage
Rui Tang et al.
APPLIED ENERGY (2019)
A game theoretic approach for pricing policies in a duopolistic supply chain considering energy productivity, industrial rebound effect, and government policies
Soroush Safarzadeh et al.
ENERGY (2019)
Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach
Jiandong Chen et al.
ENERGY ECONOMICS (2019)
Cooperative game of electricity retailers in China's spot electricity market
Xu Peng et al.
ENERGY (2018)
Forest, agriculture, renewable energy, and CO2 emission
Rida Waheed et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis
H. Wang et al.
ECOLOGICAL ECONOMICS (2018)
Game-Theory based dynamic pricing strategies for demand side management in smart grids
Dipti Srinivasan et al.
ENERGY (2017)
Reform of energy prices, energy intensity and technology: A case study of Iran (ARDL approach)
Sajjad Barkhordari et al.
ENERGY STRATEGY REVIEWS (2017)
Supply-demand balancing for power management in smart grid: A Stackelberg game approach
Mengmeng Yu et al.
APPLIED ENERGY (2016)
Oil production cost function and oil recovery implementation- Evidence from an Iranian oil field
Vahid Ghorbani Pashakolaie et al.
ENERGY EXPLORATION & EXPLOITATION (2015)
A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers
Wencong Su et al.
APPLIED ENERGY (2014)
Root mean square error (RMSE) or mean absolute error (MAE)? - Arguments against avoiding RMSE in the literature
T. Chai et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2014)
Share Paper
