The energy demand and the electrical price in a competitive electricity market are uncertain with stochastic values which are usually performed by a probability distribution function.
Sixteen G.E. executives were convicted of violating antitrust laws, and the affair is still known as the Great Electrical Price Conspiracy.
Moreover, from [17] the hourly electrical price has been obtained.
The research of Rejowski and Pinto (2003) embodied the advantage of a discrete-time expression when dealing with time-related electrical price issues.
To achieve the objective, FLC membership functions are optimized for minimizing the operational cost of the HRES based on weekly and daily prediction of data for grid electricity price, electrical load, and environmental parameters, including wind speed, solar irradiation, and ambient temperature, using shuffled frog leap algorithm.
Therefore, a number of maximum states in each component (electrical, heat, cold and electricity price) are 10.
W.r.t. the FCCHP, it generally operates at the second operational regime with high electrical efficiency when the electricity price is high.
Similarly, under reduced electrical energy prices and increasing carbon pricing (REaCP), we see 8.896%, 8.723% (− 2.1%), and 8.904% (+ 0.1%) for the model, worst, and best case scenarios, respectively.
Electrical utilities price electricity based on demand so during the daytime, for instance, energy costs more than it does in the middle of the night.
The high cost can be attributed to electrical energy prices and the use of platinum group metals (PGMs) as catalysts to improve the efficiency for hydrogen generation [1, 3, 4, 5, 6].
