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Today, due to large population growth and rising
income, the number of air conditioning units installed globally has increased to high levels. Meeting the increased demand for air conditioning has required billions of dollars of infrastructure investment and produced billions of tons of carbon dioxide emis�sions. The proposed study describes scheduling control of air conditioning systems based on peak electricity price. To achieve this goal, a demand response model was applied to set up sched�uling according to the peak price through a load aggregator. The aggregator allows negotiation of the electricity price with mar�ket operators located within their corporate borders. The pro�posed method can concurrently accommodate on-site renewable energy sources. Finally, an analysis example simulates if the pro�posed scheduling is effective to avoid electricity peak price.