Operational planning of district heating and cooling plants through genetic algorithms for mixed 0-1 linear programming

European Journal of Operational Research

Volumn 137, Issue 3, 2002, Pages 677-687

  Sakawa, Masatoshi ^a   Kato, Kosuke ^a   Ushiro, Satoshi ^b  

^a HIROSHIMA UNIVERSITY   (Japan)

^b Shinryo Corporation   (Japan)

Author keywords

District heating and cooling plant; Genetic algorithms; Mixed 0 1 linear programming; Operational planning

Indexed keywords

APPROXIMATION THEORY; COOLING; DISTRICT HEATING; GENETIC ALGORITHMS; LINEAR PROGRAMMING; PROBLEM SOLVING; STRATEGIC PLANNING;

OPERATIONAL PLANNING;

OPERATIONS RESEARCH;

EID: 0037117190     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(01)00095-9     Document Type: Article

References (18)

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6. Cooling load prediction through radial basis function network and simplified robust filter
7. Cooling load prediction through radial basis function network using a hybrid structural learning and simplified robust filter
8. Cooling load prediction through simplified robust filter and three-layered neural network in a district heating and cooling system
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