我写的SQL

本文提供了一个复杂的SQL查询案例,用于从多个表中选择并整合不同类型的能耗数据,包括空调使用量、主要设施用电量等,并通过CASE WHEN语句来确定有效的城市名称和时间。

        SELECT (CASE WHEN tabl.t1 is not null then  tabl.t1
        WHEN tabl.t2 is not null then  tabl.t2
        WHEN tabl.t3 is not null then  tabl.t3
        WHEN tabl.t4 is not null then  tabl.t4
        WHEN tabl.t5 is not null then  tabl.t5
        END) EC_TIME,
        ( CASE WHEN tabl.c1 is not null then tabl.c1
        WHEN tabl.c2 is not null then tabl.c2
        WHEN tabl.c3 is not null then tabl.c3
        WHEN tabl.c4 is not null then tabl.c4
        WHEN tabl.c5 is not null then tabl.c5
        END) EC_CITY_NAME ,

        tabl.mrtu CMR_TOTALCOMSUPTION,
        tabl.mrau CMR_AIRCONDITIONING,
        tabl.mrmu CMR_PRIMARYFACILITY,
        tabl.mrmus CMR_LIGHTINGANDOTHERS,
        tabl.stu OWNBASE_TOTALCOMSUPTION,
        tabl.sau OWNBASE_AIRCONDITIONING,
        tabl.smu OWNBASE_PRIMARYFACILITY ,
        tabl.sgu OWNBASE_LIGHTINGANDOTHERS,
        tabl.b1tu MAMAGEMENTHOUSE_TOTALUSAGE,
        tabl.b2gu MAMAGEMENTHOUSE_GENERATORUSAGE,
        tabl.b3tu OTHERS_TOTALUSAGE,
        tabl.b3gu OTHERS_GENERATORUSAGE

        FROM (
        SELECT m.cityname c1, m.EC_ITEM_TIME t1, s.cityname c2, s.EC_ITEM_TIME t2, b1.cityname c3, b1.EC_ITEM_TIME t3, b2.cityname
        c4, b2.EC_ITEM_TIME t4,b3.cityname c5, b3.EC_ITEM_TIME t5,
        NVL(m.machineroomtotalusage,0) mrtu, NVL(m.machineroomairconusage,0) mrau,NVL(m.machineroommainusage,0) mrmu,
        NVL(m.machineroomothersusage,0) mrmus,
        NVL(s.sitetotalusage,0) stu, NVL(s.siteairconusage,0) sau, NVL(s.sitemainusage,0) smu,
        NVL(s.sitegeneratorusage,0) sgu,
        NVL(b1.totalusage,0) b1tu, NVL(b1.generator_usage,0) b1gu, NVL(b2.totalusage,0) b2tu,
        NVL(b2.generator_usage,0) b2gu, NVL(b3.totalusage,0) b3tu,
        NVL(b3.generator_usage, 0) b3gu
        FROM(
        SELECT sr.NAME cityname, to_char( rcm.READTIME ,'yyyymm') as EC_ITEM_TIME, SUM(rcm.TOTAL_USAGE) machineroomtotalusage, SUM(rcm.AIRCON_USAGE)
        machineroomairconusage, SUM(rcm.MAIN_USAGE) machineroommainusage,
        SUM(rcm.GENERATOR_USAGE+rcm.OTHER_USAGE) machineroomothersusage

        FROM SYS_REGION sr
        full join RES_MACHROOM rm
        ON sr.CODE = rm.CITYID
        join RPT_CAP_MACHROOM rcm
        ON rcm.MACHROOMID = rm.ZGID
        GROUP BY sr.NAME, rcm.READTIME
        )m

        full join

        (
        SELECT sr.NAME cityname,to_char( rcs.READTIME ,'yyyymm') as EC_ITEM_TIME, SUM(rcs.TOTAL_USAGE) sitetotalusage,
        SUM(round(rcs.AIRCON_USAGE, 2)) as siteairconusage,
        SUM(rcs.MAIN_USAGE) sitemainusage, SUM(rcs.GENERATOR_USAGE) sitegeneratorusage
        FROM SYS_REGION sr
        full join RES_BTS rb
        ON sr.CODE = rb.CITYID
        join RPT_CAP_BTS rcs
        ON rcs.BTSID = rb.ZGID
        GROUP BY sr.NAME, rcs.READTIME
        )s

        on m.cityname = s.cityname AND m.EC_ITEM_TIME = s.EC_ITEM_TIME

        full join

        (
        SELECT sr.NAME cityname, to_char(rcb.READTIME ,'yyyymm') as EC_ITEM_TIME, SUM(rcb.TOTAL_USAGE) totalusage, SUM(rcb.GENERATOR_USAGE) generator_usage
        FROM SYS_REGION sr
        full join RES_BUILD rbb
        ON sr.CODE = rbb.CITYID
        join RPT_CAP_BUILD rcb
        ON rcb.BUILDID = rbb.ZGID AND rcb.BUILD_TYPE='1'
        GROUP BY sr.NAME, rcb.READTIME
        ) b1

        on m.cityname = b1.cityname AND m.EC_ITEM_TIME = b1.EC_ITEM_TIME

        full join

        (
        SELECT sr.NAME cityname,  to_char(rcb.READTIME ,'yyyymm') as EC_ITEM_TIME, SUM(rcb.TOTAL_USAGE) totalusage, SUM(rcb.GENERATOR_USAGE) generator_usage
        FROM SYS_REGION sr
        full join RES_BUILD rbb
        ON sr.CODE = rbb.CITYID
        join RPT_CAP_BUILD rcb
        ON rcb.BUILDID = rbb.ZGID AND rcb.BUILD_TYPE='3'
        GROUP BY sr.NAME, rcb.READTIME
        ) b3

        on m.cityname = b3.cityname AND m.EC_ITEM_TIME = b3.EC_ITEM_TIME

        full join
        (
        SELECT sr.NAME cityname, to_char(rcb.READTIME ,'yyyymm') as EC_ITEM_TIME , SUM(rcb.TOTAL_USAGE) totalusage, SUM(rcb.GENERATOR_USAGE) generator_usage
        FROM SYS_REGION sr
        full join RES_BUILD rbb
        ON sr.CODE = rbb.CITYID
        join RPT_CAP_BUILD rcb
        ON rcb.BUILDID = rbb.ZGID AND rcb.BUILD_TYPE='2'
        GROUP BY sr.NAME, rcb.READTIME
        ) b2

        on m.cityname = b2.cityname AND m.EC_ITEM_TIME = b2.EC_ITEM_TIME ) tabl          

内容概要:本文介绍了一个基于Matlab的综合能源系统优化调度仿真资源,重点实现了含光热电站、有机朗肯循环(ORC)和电含光热电站、有机有机朗肯循环、P2G的综合能源优化调度(Matlab代码实现)转气(P2G)技术的冷、热、电多能互补系统的优化调度模型。该模型充分考虑多种能源形式的协同转换与利用,通过Matlab代码构建系统架构、设定约束条件并求解优化目标,旨在提升综合能源系统的运行效率与经济性,同时兼顾灵活性供需不确定性下的储能优化配置问题。文中还提到了相关仿真技术支持,如YALMIP工具包的应用,适用于复杂能源系统的建模与求解。; 适合人群:具备一定Matlab编程基础和能源系统背景知识的科研人员、研究生及工程技术人员,尤其适合从事综合能源系统、可再生能源利用、电力系统优化等方向的研究者。; 使用场景及目标:①研究含光热、ORC和P2G的多能系统协调调度机制;②开展考虑不确定性的储能优化配置与经济调度仿真;③学习Matlab在能源系统优化中的建模与求解方法,复现高水平论文(如EI期刊)中的算法案例。; 阅读建议:建议读者结合文档提供的网盘资源,下载完整代码和案例文件,按照目录顺序逐步学习,重点关注模型构建逻辑、约束设置与求解器调用方式,并通过修改参数进行仿真实验,加深对综合能源系统优化调度的理解。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值